이전페이지 이동
2018  2017  2016  2015  2014  2013  2012  2011  2010  2009  2008  2007  2006  2005  2004  2003  2002  2001  2000  1999  1998  1997  1996  1995  1991  1990  1988  1974  1970   - 총 10725 개 -
  • 2003 년도 - 571 개-
    2002년 하계 여자만 수온, 염분 분포특성 - 이경식, 조영철, 곽종욱 (전라남도수산시험연구소)

    2003년 동계-하계 가막만 해수물성 - 이경식, 조영철, 곽종욱 (전라남도수산시험연구소)

    A Course In Algebraic Number Theory - 1 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 10 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 11 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 12 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 13 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 14 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 2 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 3 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 4 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 5 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 6 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 7 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 8 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory - 9 - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 1 Preface - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 10 Chapter 8 Factoring of Prime Ideals in Galois Extensions (8 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 11 Chapter 9 Local Fields (11 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 12 Appendices (12 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 13 Solutions - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 14 Index - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 2 Table of Contents - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 3 Chapter 1 Introduction (8 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 4 Chapter 2 Norms, Traces and Discriminants (12 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 5 Chapter 3 Dedekind Domains (9 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 6 Chapter 4 Factoring of Prime Ideals in Extensions (9 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 7 Chapter 5 The Ideal Class Group (7 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 8 Chapter 6 The Dirichlet Unit Theorem (7 pp.) - Robert B. Ash (University of Illinois)

    A Course In Algebraic Number Theory 9 Chapter 7 Cyclotomic Extensions (7 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 1 Preface - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 10 Chapter 7 Homological Methods (8 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 11 Chapter 8 Regular Local Rings (3 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 12 Exercises (7 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 13 Solutions (8 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 14 List of Symbols - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 15 Index - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 2 Table of Contents - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 3 Chapter 0 Ring Theory Background (7 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 4 Chapter 1 Primary Decomposition and Associated Primes (15 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 5 Chapter 2 Integral Extensions (9 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 6 Chapter 3 Valuation Rings (9 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 7 Chapter 4 Completion (10 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 8 Chapter 5 Dimension Theory (15 pp.) - Robert B. Ash (University of Illinois)

    A Course In Commutative Algebra 9 Chapter 6 Depth (4 pp.) - Robert B. Ash (University of Illinois)

    A Numerical Investigation of the Remote Influence of Pacific ENSO on Variability in the Tropical Atlantic Ocean - 민덕홍 (Center for Ocean-Land-Atmosphere, IGES, Calverton, Maryland, USA)

    A Summary of Calculus - Karl Heinz Dovermann (University of Hawaii)

    A Theory for the Nearly Annual Mode in the tropical Pacific - 국종성 (서울대학교)

    Abstract Algebra - Lecture 1 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 10 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 11 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 12 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 13 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 14 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 15 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 16 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 17 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 18 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 19 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 2 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 20 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 21 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 22 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 23 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 24 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 25 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 26 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 27 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 28 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 29 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 3 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 30 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 31 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 4 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 5 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 6 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 7 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 8 - Kiryl Tsishchanka (New York University)

    Abstract Algebra - Lecture 9 - Kiryl Tsishchanka (New York University)

    Advanced Topics in Cryptography 1 Interactive Proofs and Zero-Knowledge Proofs - Moses Liskov (MIT)

    Advanced Topics in Cryptography 10 Non-Interactive ZK Proofs for all of NP - None (MIT)

    Advanced Topics in Cryptography 11 Generalizing Non-Interactive Zero-Knowledge Proofs - Scott Russell (MIT)

    Advanced Topics in Cryptography 12 Improved Non-Interactive Zero-Knowledge - Peng Xie (MIT)

    Advanced Topics in Cryptography 13 NIZK and the Lunchtime Attack - Jonathan Herzog (MIT)

    Advanced Topics in Cryptography 14 Lunchtime and Chosen Ciphertext Security - David Wilson (MIT)

    Advanced Topics in Cryptography 15 A Practical CCA-2 PK Cryptosystem - Javed?Samuel (MIT)

    Advanced Topics in Cryptography 16 Defining ZK Proofs of Knowledge - Vitaly Feldman (MIT)

    Advanced Topics in Cryptography 17 Mutually Independent Commitments - Shien Jin Ong (MIT)

    Advanced Topics in Cryptography 18 Concurrent Zero-Knowledge - Jonathan Derryberry (MIT)

    Advanced Topics in Cryptography 19 Concurrent Zero-Knowledge in Polylogarithmic Rounds - Nenad Dedi? (MIT)

    Advanced Topics in Cryptography 2 The Notion of Zero-Knowledgeness - Loizos Michael (MIT)

    Advanced Topics in Cryptography 20 Secure Multi-Party Computation in the HBC Model - Yael Tauman (MIT)

    Advanced Topics in Cryptography 21 Compiling an Honest but Curious Protocol - Jonathan Derryberry (MIT)

    Advanced Topics in Cryptography 22 Multi-Party Computation with Perfect Channels - Chun-Yun Hsiao (MIT)

    Advanced Topics in Cryptography 3 Zero-Knowledge Proofs (cont.) - Steve Weis (MIT)

    Advanced Topics in Cryptography 4 ZK Proofs and Proofs of Knowledge - Susan Hohenberger (MIT)

    Advanced Topics in Cryptography 5 ZK Proofs for all of NP - Dah-Yoh Lim (MIT)

    Advanced Topics in Cryptography 6 Power and Efficiency of ZK - Abhi Shelat (MIT)

    Advanced Topics in Cryptography 7 Variations on ZK - Jo?l Alwen (MIT)

    Advanced Topics in Cryptography 8 Communication Efficiency for NP Arguments - Christopher Peikert (MIT)

    Advanced Topics in Cryptography 9 A Bounded NIZK Proof System for a Special Language - Matthew Lepinski (MIT)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Curves - Robert Coleman (University of California, Berkeley)

    Algebraic Geometry 1 Introduction - Martin Olsson (MIT)

    Algebraic Geometry 10 Applications - Martin Olsson (MIT)

    Algebraic Geometry 11 Recap on the Applications - Martin Olsson (MIT)

    Algebraic Geometry 12 Homework 5 Problem - Martin Olsson (MIT)

    Algebraic Geometry 13 Back to Dimension - Martin Olsson (MIT)

    Algebraic Geometry 14 Fibers of Morphisms - Martin Olsson (MIT)

    Algebraic Geometry 15 Fiber Products - Martin Olsson (MIT)

    Algebraic Geometry 16 Completeness - Martin Olsson (MIT)

    Algebraic Geometry 17 Chow's Lemma - Martin Olsson (MIT)

    Algebraic Geometry 18 Curves - Martin Olsson (MIT)

    Algebraic Geometry 19 What is Next? - Martin Olsson (MIT)

    Algebraic Geometry 2 Recap of Last Time - Martin Olsson (MIT)

    Algebraic Geometry 20 Problem Set 1 - Martin Olsson (MIT)

    Algebraic Geometry 21 Problem Set 2 - Martin Olsson (MIT)

    Algebraic Geometry 22 Problem Set 3 - Martin Olsson (MIT)

    Algebraic Geometry 23 Problem Set 4 - Martin Olsson (MIT)

    Algebraic Geometry 24 Problem Set 5 - Martin Olsson (MIT)

    Algebraic Geometry 25 Problem Set 6 - Martin Olsson (MIT)

    Algebraic Geometry 26 Problem Set 7 - Martin Olsson (MIT)

    Algebraic Geometry 27 Problem Set 8 - Martin Olsson (MIT)

    Algebraic Geometry 28 Problem Set 9 - Martin Olsson (MIT)

    Algebraic Geometry 29 Problem Set 10 - Martin Olsson (MIT)

    Algebraic Geometry 3 Projective Space (cont.) - Martin Olsson (MIT)

    Algebraic Geometry 30 Final Take-home Exam - Martin Olsson (MIT)

    Algebraic Geometry 4 Projective Space (cont.) - Martin Olsson (MIT)

    Algebraic Geometry 5 Presheaves - Martin Olsson (MIT)

    Algebraic Geometry 6 Review of things not covered enough (Topics: Fibers, Morphisms of Sheaves) - Martin Olsson (MIT)

    Algebraic Geometry 7 Homework Review - Martin Olsson (MIT)

    Algebraic Geometry 8 Projective Varieties - Martin Olsson (MIT)

    Algebraic Geometry 9 A Review on?Projective Varieties - Martin Olsson (MIT)

    Algebraic Topology - Chapter 1 - Allen Hatcher (Cornell University)

    An observation of the abrupt changes in the East Sea during the passage of the 2003 typhoon 'MAEMI' - 남성현 (서울대학교)

    Annual Variation of Sea Surface Heights across the Taiwan and Korea Straits - 장성태 (한국해양연구원 해양기후환경연구본부)

    Applied Differential Equations I(NCSU)-Applied Differential Equations I(NCSU)-Lecture 1 - Harvey Charlton (North Carolina State University)

    Biological activity of recombinant IL-1 in rainbow trout, Oncorhyncus mykiss - Suhee Hong, Sang-Jun Lee, Chris Secombes (Unuversity of Aberdeen, National Fisheries Research and Development Institute)

    BULK선용 자동 Ballast Water Management Plan 개발 - 홍충유, 권영섭, 권성진, 황진욱, 박제웅 (조선대학교, (주)메카정보통신)

    Combinatorial Optimization - Approximation Algorithms - Santosh Vempala (MIT)

    Combinatorial Optimization - Flow Duality and Algorithms - Santosh Vempala (MIT)

    Combinatorial Optimization - Linear Programs - Santosh Vempala (MIT)

    Combinatorial Optimization - Matching Algorithms - Santosh Vempala (MIT)

    Combinatorial Optimization - Minimum Cuts - Santosh Vempala (MIT)

    Combinatorial Optimization - NP-completeness - Santosh Vempala (MIT)

    Combinatorial Optimization - Polyhedral Combinatorics - Santosh Vempala (MIT)

    Combinatorial Optimization - Separation Oracles - Santosh Vempala (MIT)

    Combinatorial Optimization - The Ellipsoid Algorithm - Santosh Vempala (MIT)

    Combinatorial Optimization - The Matching Polytope_ Bipartite Graphs - Santosh Vempala (MIT)

    Combinatorial Optimization - The Matching Polytope_ General Graphs - Santosh Vempala (MIT)

    Combinatorial Optimization - The Primal-dual Algorithm - Santosh Vempala (MIT)

    Combinatorial Optimization - The Simplex Algorithm - Santosh Vempala (MIT)

    Computational Geometry - Lecture 1 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 10-12 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 13 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 14 and 15 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 19 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 2 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 20 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 21 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 23 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 3 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 4 and 5 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 6 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 8 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Computational Geometry - Lecture 9 - Nicholas M. Patrikalakis (Massachusetts Institute of Technology)

    Crypto and Number Theory - Lecture 1 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 10 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 11 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 12 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 13 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 14 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 15 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 16 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 17 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 18 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 19 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 2 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 20 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 21 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 22 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 23 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 3 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 4 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 5 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 6 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 7 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 8 - Paul Garrett (University of Minnesota)

    Crypto and Number Theory - Lecture 9 - Paul Garrett (University of Minnesota)

    DGPS를 이용한 선박 및 해양작업선의 위치제어장치 개발 - 홍충유, 나국환, 이동신, 조철희, 박병옥, 최학선, 박제웅, 김주남 ((주)메카정보통신,인하대학교,목포조선공업,한국해양연구소,조선대학교,선박검사 기술협회)

    Discrete Mathematics - Lecture 1 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 10 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 11 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 12 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 13 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 14 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 15 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 16 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 17 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 18 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 2 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 3 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 4 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 5 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 6 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 7 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 8 - Kiryl Tsishchanka (New York University)

    Discrete Mathematics - Lecture 9 - Kiryl Tsishchanka (New York University)

    Distribution of Prime Numbers - Chapter 1 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 1 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 2 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 2 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 3 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 3 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 4 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 4 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 5 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 5 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 6 - William Chen (Macquarie University)

    Distribution of Prime Numbers - Chapter 6 - William Chen (Macquarie University)

    DSM(Dynamical Systems Method) - Alexander G. Ramm (KSU)

    Ejector 내의 유동특성에 관한 연구 - 이행남, 박지만, 이덕구 (조선대학교 기계공학과)

    Elementary Number Theory - Chapter 1 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 1 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 2 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 2 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 3 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 3 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 4 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 4 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 5 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 5 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 6 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 6 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 7 - William Chen (Macquarie University)

    Elementary Number Theory - Chapter 7 - William Chen (Macquarie University)

    Fields (1999, 2nd edition 2002) - Warren Siegel (State University of New York at Stony Brook)

    Global SST Prediction System at Climate Environment System Research Center - 국종성, 이준이, 강인식, 서호영 (서울대학교, NASA)

    Group actions on manifolds - Eckhard Meinrenken (University of Toronto)

    Inverse Problems 1 - Alexander G. Ramm (KSU)

    Inverse Problems 2 - Alexander G. Ramm (KSU)

    Inverse Problems 3 - Alexander G. Ramm (KSU)

    Investigation of the particle settling process in the ocean mixed layer using LES - 노의근 (연세대학교)

    Lectures on Symplectic Geometry - Ana Cannas da Silva (Princeton University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Lie Groups and Representations - Peter Woit (Columbia University)

    Linear Algebra - Lecture 1 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 10 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 11 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 12 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 13 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 14 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 15 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 16 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 17 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 18 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 19 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 2 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 20 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 21 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 22 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 23 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 24 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 25 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 26 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 27 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 28 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 29 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 3 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 30 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 31 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 32 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 4 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 5 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 6 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 7 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 8 - Kiryl Tsishchanka (New York University)

    Linear Algebra - Lecture 9 - Kiryl Tsishchanka (New York University)

    Local Tomography and Image Processing - Alexander G. Ramm (KSU)

    Localization and String Duality - Kefeng Liu (UCLA)

    Mathematical Statistics 1 1.1 Deciding between Two Simple Hypotheses: The Neyman Pearson Lemma, 8 pages. - Richard Dudley (MIT)

    Mathematical Statistics 10 2.3 Minimal Sufficiency and the Lehmann Scheff??Property, 6 pages. - Richard Dudley (MIT)

    Mathematical Statistics 11 2.4 Lower Bounds on Mean squared Errors: Information Inequalities, 10 pages. - Richard Dudley (MIT)

    Mathematical Statistics 12 2.5 Exponential Families, 13 pages. - Richard Dudley (MIT)

    Mathematical Statistics 13 2.6 Bayes Estimation, 5 pages. - Richard Dudley (MIT)

    Mathematical Statistics 14 2.7 Stein\'s Phenomenon and James Stein Estimators, 5 pages. - Richard Dudley (MIT)

    Mathematical Statistics 15 2.8* Continuity at the Boundary for Exponential Families, 3 pages. - Richard Dudley (MIT)

    Mathematical Statistics 16 3.1 Maximum Likelihood Estimates? In Exponential Families, 4 pages. - Richard Dudley (MIT)

    Mathematical Statistics 17 3.2 Likelihood Equations and Errors in variables Regression: Solari\'s Example, 5 pages. - Richard Dudley (MIT)

    Mathematical Statistics 18 3.3 M estimators and Their Consistency, 8 pages. - Richard Dudley (MIT)

    Mathematical Statistics 19 3.4 M estimates and Robust Location Estimates, 8 pages. - Richard Dudley (MIT)

    Mathematical Statistics 2 1.2 Decision Theory, 6 pages. - Richard Dudley (MIT)

    Mathematical Statistics 20 3.44 Robustness, Breakdown Points, and 1 dimensional Location M estimates, 6 pages. - Richard Dudley (MIT)

    Mathematical Statistics 21 3.5 Consistency of Approximate M estimators of?psi?type, 4 pages. - Richard Dudley (MIT)

    Mathematical Statistics 22 3.6 Asymptotic Normality of M estimates, 8 pages. - Richard Dudley (MIT)

    Mathematical Statistics 23 3.7 Efficiency of Estimators, 11 pages. - Richard Dudley (MIT)

    Mathematical Statistics 24 3.8 Efficiency of Maximum Likelihood Estimators, 4 pages. - Richard Dudley (MIT)

    Mathematical Statistics 25 3.9 A Likelihood Ratio Test for Nested Composite Hypotheses: Wilks\'s theorem, 5 pages. - Richard Dudley (MIT)

    Mathematical Statistics 26 4.1 Convergence of Posteriors, 5 pages. - Richard Dudley (MIT)

    Mathematical Statistics 27 Appendix A. Uniqueness of Likelihood Ratios, 2 pages. - Richard Dudley (MIT)

    Mathematical Statistics 28 Appendix B. Preservation of Dimension by 1 1 Continuous Functions, 1 page. - Richard Dudley (MIT)

    Mathematical Statistics 29 Appendix C. Separability of Stochastic Processes, 1 page. - Richard Dudley (MIT)

    Mathematical Statistics 3 1.3 Bayes Decision Theory, 6 pages. - Richard Dudley (MIT)

    Mathematical Statistics 30 Appendix D. Mathematical Foundations of Probability Theory, 2 pages. - Richard Dudley (MIT)

    Mathematical Statistics 31 Appendix E. Line fitting by Distance: Errors in variables Regression, 3 pages. - Richard Dudley (MIT)

    Mathematical Statistics 32 Appendix F. The Lagrange Multiplier Technique, 2 pages. - Richard Dudley (MIT)

    Mathematical Statistics 33 Problem Set 1 - Richard Dudley (MIT)

    Mathematical Statistics 34 Problem Set 2 - Richard Dudley (MIT)

    Mathematical Statistics 35 Problem Set 3 - Richard Dudley (MIT)

    Mathematical Statistics 36 Problem Set 4 - Richard Dudley (MIT)

    Mathematical Statistics 37 Problem Set 5 - Richard Dudley (MIT)

    Mathematical Statistics 38 Problem Set 6 - Richard Dudley (MIT)

    Mathematical Statistics 39 Problem Set 7 - Richard Dudley (MIT)

    Mathematical Statistics 4 1.4* Realizable Rules, 2 pages. - Richard Dudley (MIT)

    Mathematical Statistics 40 Problem Set 8 - Richard Dudley (MIT)

    Mathematical Statistics 41 Problem Set 9 - Richard Dudley (MIT)

    Mathematical Statistics 42 Problem Set 10 - Richard Dudley (MIT)

    Mathematical Statistics 43 Hint (Problem Set 2) - Richard Dudley (MIT)

    Mathematical Statistics 44 Hint (Problem Set 3) - Richard Dudley (MIT)

    Mathematical Statistics 45 Hint (Problem Set 4) - Richard Dudley (MIT)

    Mathematical Statistics 46 Hint (Problem Set 5) - Richard Dudley (MIT)

    Mathematical Statistics 47 Hint (Problem Set 6) - Richard Dudley (MIT)

    Mathematical Statistics 48 Hint (Problem Set 7) - Richard Dudley (MIT)

    Mathematical Statistics 49 Review for Midterm - Richard Dudley (MIT)

    Mathematical Statistics 5 1.5 The Sequential Probability Ratio Test, 5 pages. - Richard Dudley (MIT)

    Mathematical Statistics 50 Midterm Exam - Richard Dudley (MIT)

    Mathematical Statistics 51 Review for Final Exam - Richard Dudley (MIT)

    Mathematical Statistics 52 Final Exam - Richard Dudley (MIT)

    Mathematical Statistics 6 1.6 Sequential Decision Theory, 2 pages. - Richard Dudley (MIT)

    Mathematical Statistics 7 1.7 Proof of Optimality of the SPRT, 9 pages. - Richard Dudley (MIT)

    Mathematical Statistics 8 2.1 Sufficient Statistics, 8 pages. - Richard Dudley (MIT)

    Mathematical Statistics 9 2.2 Estimation and Convexity, 5 pages. - Richard Dudley (MIT)

    Measure and Integration-01.Why Measure Theory? - Jeff Viaclovsky (MIT)

    Measure and Integration-02.Real-valued Measurable Functions - Jeff Viaclovsky (MIT)

    Measure and Integration-03.Riemann Integral - Jeff Viaclovsky (MIT)

    Measure and Integration-04.Integral is Additive for Simple Functions - Jeff Viaclovsky (MIT)

    Measure and Integration-05.Integral of Complex Functions - Jeff Viaclovsky (MIT)

    Measure and Integration-06.Lebesgue Measure on R^n - Jeff Viaclovsky (MIT)

    Measure and Integration-07.Definition of Lebesgue Measurable for Sets with Finite Outer Measure - Jeff Viaclovsky (MIT)

    Measure and Integration-08.Caratheodory Criterion - Jeff Viaclovsky (MIT)

    Measure and Integration-09.Invariance of Lebesgue Measure under Translations and Dilations - Jeff Viaclovsky (MIT)

    Measure and Integration-10.Integration as a Linear Functional - Jeff Viaclovsky (MIT)

    Measure and Integration-11.Lusin's Theorem (Measurable Functions are nearly continuous) - Jeff Viaclovsky (MIT)

    Measure and Integration-12.Approximation of Measurable Functions by Continuous Functions - Jeff Viaclovsky (MIT)

    Measure and Integration-13.Egoroff's Theorem (Pointwise Convergence is nearly uniform) - Jeff Viaclovsky (MIT)

    Measure and Integration-14.Convex Functions - Jeff Viaclovsky (MIT)

    Measure and Integration-15.L^p Spaces, 1 Leq p Leq Infty - Jeff Viaclovsky (MIT)

    Measure and Integration-16.C_c Dense in L^p, 1 Leq p < Infty - Jeff Viaclovsky (MIT)

    Measure and Integration-17.Inclusions between L^p Spaces? l^p Spaces? - Jeff Viaclovsky (MIT)

    Measure and Integration-18.Fubini's Theorem in R^n for Non-negative Functions - Jeff Viaclovsky (MIT)

    Measure and Integration-19.Fubini's Theorem in R^n for L^1 Functions - Jeff Viaclovsky (MIT)

    Measure and Integration-20.Fubini's Theorem for Product Measure - Jeff Viaclovsky (MIT)

    Measure and Integration-21.Young's Inequality - Jeff Viaclovsky (MIT)

    Measure and Integration-22.Fundamental Theorem of Calculus for Lebesgue Integral - Jeff Viaclovsky (MIT)

    Measure and Integration-23.Lebesgue's Differentiation Theorem - Jeff Viaclovsky (MIT)

    Measure and Integration-24.Generalized Minkowski Inequality - Jeff Viaclovsky (MIT)

    Mirror Symmetry and Localization - Kefeng Liu (UCLA)

    Modified Rayleigh Conjecture - Alexander G. Ramm (KSU)

    Nonlinear Fourier Analysis - Christoph Thiele (UCLA)

    Parvicapsula anisocaudata Zhao, Ma and Song, 2003 (Myxosporea: Parvicapsulidae) from urinary system of cultured olive flounder, Paralichtys olivaceus - Jae Bum Cho, Ki Hong Kim (The Graduate School, Department of Fish Pathology, Pukyong National University)

    Quantum Computation 1 Basics of Quantum Mechanics - Peter Shor (MIT)

    Quantum Computation 10 Homework 1 - Peter Shor (MIT)

    Quantum Computation 11 Homework 2 - Peter Shor (MIT)

    Quantum Computation 12 Homework 3 - Peter Shor (MIT)

    Quantum Computation 13 Homework 4 - Peter Shor (MIT)

    Quantum Computation 14 Homework 5 - Peter Shor (MIT)

    Quantum Computation 15 Homework 1(Optional) - Peter Shor (MIT)

    Quantum Computation 16 Homework 2(Optional) - Peter Shor (MIT)

    Quantum Computation 17 Homework 3(Optional) - Peter Shor (MIT)

    Quantum Computation 18 Homework 4(Optional) - Peter Shor (MIT)

    Quantum Computation 19 Homework 5(Optional) - Peter Shor (MIT)

    Quantum Computation 2 Classical Computation Models and Quantum Gates - Peter Shor (MIT)

    Quantum Computation 20 Solution of Homework 1 - Peter Shor (MIT)

    Quantum Computation 21 Solution of Homework 2 - Peter Shor (MIT)

    Quantum Computation 22 Solution of Homework 3 - Peter Shor (MIT)

    Quantum Computation 23 Solution of Homework 4 - Peter Shor (MIT)

    Quantum Computation 24 Solution of Homework 5 - Peter Shor (MIT)

    Quantum Computation 25 Solution of Homework 1 (Optional) - Peter Shor (MIT)

    Quantum Computation 26 Solution of Homework 2 (Optional) - Peter Shor (MIT)

    Quantum Computation 27 Solution of Homework 3 (Optional) - Peter Shor (MIT)

    Quantum Computation 28 Solution of Homework 4 (Optional) - Peter Shor (MIT)

    Quantum Computation 29 Solution of Homework 5 (Optional) - Peter Shor (MIT)

    Quantum Computation 3 Quantum Circuits and a Simple Quantum Algorithm - Peter Shor (MIT)

    Quantum Computation 30 Quiz 1 - Peter Shor (MIT)

    Quantum Computation 31 Quiz 1 Solutions - Peter Shor (MIT)

    Quantum Computation 32 Quiz 2 - Peter Shor (MIT)

    Quantum Computation 4 Applications of Grover\'s Search Algorithm - Peter Shor (MIT)

    Quantum Computation 5 Quantum Computation Models - Peter Shor (MIT)

    Quantum Computation 6 Cluster States - Peter Shor (MIT)

    Quantum Computation 7 Quantum Error Correction - Peter Shor (MIT)

    Quantum Computation 8 Guest Lecture by Isaac Chuang on Implementations of Quantum Computing: How to Build your Own Quantum Computer - Peter Shor (MIT)

    Quantum Computation 9 Fault-Tolerant Quantum Computation - Peter Shor (MIT)

    Quantum Field Theory and Geometry - Peter Woit (Columbia University)

    Quantum Field Theory and Geometry - Peter Woit (Columbia University)

    Recent Sea Level Rising of the East/Japan Sea with Possible Inhomogeneous Response to Climate Change - 강석구 (한국해양연구원)

    Sea Surface Cooling in the Southern Area of the East Sea with the Passage of Typhoons - Chul-Hoon Hon, Ik-Sung Sohn (부경대학교 해양학과)

    Sea surface cooling in the southern area of the East Sea with the passage of typhoons - 홍철훈 (부경대학교 해양생산시스템관리학부)

    Stable Numerical Differentiation and Deconvolution - Alexander G. Ramm (KSU)

    Stable operations in elliptic cohomology - Andrew Baker (University of Glasgow)

    Statistics for Applications - Bayes Estimators, Conjugate Prior Distributions - Dmitry Panchenko (MIT)

    Statistics for Applications - Classification Problem - Dmitry Panchenko (MIT)

    Statistics for Applications - Confidence Intervals for Parameters of Normal Distribution - Dmitry Panchenko (MIT)

    Statistics for Applications - Consistency of MLE, - Dmitry Panchenko (MIT)

    Statistics for Applications - Efficient Estimators - Dmitry Panchenko (MIT)

    Statistics for Applications - Estimates of Parameters of Normal Distribution - Dmitry Panchenko (MIT)

    Statistics for Applications - Fisher and Student Distributions - Dmitry Panchenko (MIT)

    Statistics for Applications - Gamma Distribution, Beta Distribution - Dmitry Panchenko (MIT)

    Statistics for Applications - Goodness-of-Fit Test for Composite Hypotheses - Dmitry Panchenko (MIT)

    Statistics for Applications - Goodness-of-Fit Test, Goodness-of-Fit Test for Continuous Distribution - Dmitry Panchenko (MIT)

    Statistics for Applications - Introduction - Dmitry Panchenko (MIT)

    Statistics for Applications - Joint Distribution of the Estimates - Dmitry Panchenko (MIT)

    Statistics for Applications - Jointly Sufficient Statistics, Improving Estimators Using Sufficient Statistics, Rao-Blackwell Theorem - Dmitry Panchenko (MIT)

    Statistics for Applications - Kolmogorov-Smirnov Test - Dmitry Panchenko (MIT)

    Statistics for Applications - Maximum Likelihood Estimators - Dmitry Panchenko (MIT)

    Statistics for Applications - Method of Moments - Dmitry Panchenko (MIT)

    Statistics for Applications - Minimal Jointly Sufficient Statistics- χ^2 Distribution - Dmitry Panchenko (MIT)

    Statistics for Applications - Monotone Likelihood Ratio, One Sided Hypotheses - Dmitry Panchenko (MIT)

    Statistics for Applications - Most Powerful Test for Two Simple Hypotheses - Dmitry Panchenko (MIT)

    Statistics for Applications - One Sided Hypotheses (cont.) - Dmitry Panchenko (MIT)

    Statistics for Applications - Orthogonal Transformation of Standard Normal Sample - Dmitry Panchenko (MIT)

    Statistics for Applications - Pearson''s Theorem - Dmitry Panchenko (MIT)

    Statistics for Applications - Prior and Posterior Distributions - Dmitry Panchenko (MIT)

    Statistics for Applications - Randomized Most Powerful Test, Composite Hypotheses. Uniformly Most Powerful Test - Dmitry Panchenko (MIT)

    Statistics for Applications - Rao-Cramer Inequality - Dmitry Panchenko (MIT)

    Statistics for Applications - Simple Linear Regression, Method of Least Squares, Simple Linear Regression - Dmitry Panchenko (MIT)

    Statistics for Applications - Some Probability Distributions - Dmitry Panchenko (MIT)

    Statistics for Applications - Statistical Inference in Simple Linear Regression - Dmitry Panchenko (MIT)

    Statistics for Applications - Sufficient Statistic - Dmitry Panchenko (MIT)

    Statistics for Applications - Test of Homogeneity - Dmitry Panchenko (MIT)

    Statistics for Applications - Test of Independence - Dmitry Panchenko (MIT)

    Statistics for Applications - Testing Hypotheses, Testing Simple Hypotheses, Bayes Decision Rules - Dmitry Panchenko (MIT)

    The Age of Einstein - Frank W. K. Firk (Yale University)

    The result of CTD observation in Drake Passage in November-December 2001 - 이재학, 강영철, 김영준 장성태 (한국해양연구원 해양기후.환경연구본부, 극지연구소, 남해연구소)

    Theory of Numbers - Abelian Groops, Torsion Points and Finite Generation of Group of Torsion Points - Martin Olsson (MIT)

    Theory of Numbers - Advanced Topics - Martin Olsson (MIT)

    Theory of Numbers - Binomial Theorem and Congruences - Martin Olsson (MIT)

    Theory of Numbers - Chinese Remainder Theorem - Martin Olsson (MIT)

    Theory of Numbers - Congruences - Martin Olsson (MIT)

    Theory of Numbers - Continued Fractions - Martin Olsson (MIT)

    Theory of Numbers - Curves in Projective Space - Martin Olsson (MIT)

    Theory of Numbers - Divisibility - Martin Olsson (MIT)

    Theory of Numbers - Elliptic Curves - Martin Olsson (MIT)

    Theory of Numbers - Greatest Common Divisor - Martin Olsson (MIT)

    Theory of Numbers - Hensel's Lemma - Martin Olsson (MIT)

    Theory of Numbers - Mazur's Theorem and Calculating the Torsion Subgroup - Martin Olsson (MIT)

    Theory of Numbers - More Calculations - Martin Olsson (MIT)

    Theory of Numbers - More on Continued Fractions - Martin Olsson (MIT)

    Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

    Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

    Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

    Theory of Numbers - More on Continued Fractions (cont.) - Martin Olsson (MIT)

    Theory of Numbers - More on Continued Fractions (cont.) and Solving Equations - Martin Olsson (MIT)

    Theory of Numbers - More on Curves in Projective Space and Statement of Falting's Theorem (Mordell Conjecture) - Martin Olsson (MIT)

    Theory of Numbers - More on Elliptic Curves - Martin Olsson (MIT)

    Theory of Numbers - More on Factorization - Martin Olsson (MIT)

    Theory of Numbers - More on Greatest Common Divisor and Division Algorithm - Martin Olsson (MIT)

    Theory of Numbers - More on Quadratic Reciprocity - Martin Olsson (MIT)

    Theory of Numbers - More on Quadratic Residues - Martin Olsson (MIT)

    Theory of Numbers - More on Quadratic Residues (cont.) - Martin Olsson (MIT)

    Theory of Numbers - More on Solving Equations Modulo Primes - Martin Olsson (MIT)

    Theory of Numbers - Prime Factorization and Binomial - Martin Olsson (MIT)

    Theory of Numbers - Quadratic Reciprocity - Martin Olsson (MIT)

    Theory of Numbers - Quadratic Residue Symbol - Martin Olsson (MIT)

    Theory of Numbers - Residue Systems, Fermat's Little Theorem, Euler's Theorem, and Wilson's Theorem - Martin Olsson (MIT)

    Theory of Numbers - RSA Cryptography - Martin Olsson (MIT)

    Theory of Numbers - Singular Points and Smoothness - Martin Olsson (MIT)

    Theory of Numbers - Solving Equations Modulo Primes - Martin Olsson (MIT)

    Vibrio sp.에 존재하는 tet gene의 특성 분석 - 김영화, 김재훈, 박신후, 정현도 (부경대학교 수산생명의학과)

    Waterfront 주거환경 만족도 연구 - 김가야, 윤상복, 김정호 (동의대학교 토목도시공학부)

    Wavelets, Filter Banks and Applications - Accuracy of Wavelet Approximations (Condition A) - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Discrete-time Filters - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Filter Banks - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Filter Banks (contd.) - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Lifting - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - M-band Wavelets - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Mallat Pyramid Algorithm Sec - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - MATLAB Wavelet Toolbox - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Maxflat Filters - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Modulation and Polyphase Representations - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Multiresolution Analysis (MRA) - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Numerical Solution of PDEs - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Orthogonal Filter Banks - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Orthogonal Wavelet Bases - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Refinement Equation - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Sampling Rate Change Operations - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Signal and Image Processing - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Smoothness of Wavelet Bases - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications - Wavelets and Subdivision (contd.) - Gilbert Strang (MIT)

    Wavelets, Filter Banks and Applications -Wavelets and Subdivision: Nonuniform Grids - Gilbert Strang (MIT)

    가막만 양식장 주변해역 표층퇴적물중 유기물량 분포 특성 - 윤양호, 노일현 (여수대학교 대학원)

    강진만 피조개 Scapharca broughtonii의 폐사에 따른 병리조직학적 변화 - 박경현, 이무근, 이영은, 하동수 (국립수산과학원 남해수산연구소, 남해수산종묘시험장)

    국내외 선박/해양 분야 VR 현황과 Ship Navigation VR에 관한 기초 연구 - 이재환, 박병재 (충남대학교 선박해양공학과)

    극한파의 통계적 특성에 대한 연구 - Hwang-Jin Ryu, Do Young Kim (홍익대학교 조선해양공학과)

    기상요소 확률해석을 통한 영일만 수질변동 특성 연구 - 윤한삼, 이인철, 류청로 (부경대학교)

    나일 틸라피아, Oreochromis niloticus의 IL-1 에 관한 연구 - 이대심, 류지효, 이현정, 정현도 (부경대학교 수산생명의학과)

    넙치 유래의 Edwardsiella tarda에 대한 난황항체의 분리와 정제 - 김영대, 오명주, 정성주 (여수대학교 수산생명의학과)

    넙치(Paralichthys olivaceus) 간으로부터 phosphatidylcoline을 가수분해하는 효소의 특성 - 이상환, 서정수, 정소정, 정준기 (부경대학교 수산생명의학과)

    넙치에서 스쿠티카증을 일으키는 섬모충의 small subunit ribosomal RNA gene의 염기서열 분석과 Multiplex-PCR을 이용한 신속 종진단 - 김성미, 김기홍 (부경대학교 수산생명의학과)

    대한해협을 통과하는 체적 수송량의 추정 및 경년 변동에 관한 연구 - 김영주 (큐슈대학교 총합이공학부)

    동해 심층수 개발해역의 오염부하량 해석과 해황변동 - 이인철, 김경회, 윤한삼 ( 해양공학과)

    부소파제 개발을 위한 계류라인의 장력응답 해석에 관한 연구 - 정동호, 김현주, 박한일 (해양연구원 해양개발시스템연구본부, 한국해양대학교 해양개발공학부)

    사석제의 건설 공정설계를 위한 수리학적 특성에 관한 연구 - 김홍진, 류청로, 김헌태 ()

    수로형 해역에서의 파랑전달에 미치는 영향인자 분석 - Gyong-Seong Lee, Han-Sam Yoon, Cheong-Ro Ryu, Jong-Hwa Park (부경대학교 해양공학과)

    식물플랑크톤의 인(phosphorus) 공급원으로 중요한 alkaline phosphatase hydrolyzable phosphorus - 오석진, Tamiji Yamamoto, Yukihiko Matsuyaman, 윤양호, Shigeru Itakura, Satoshi Nagai, 양한섭 (히로시마 대학교, 여수대학교,부경대학교)

    양식산 Turbot (Scophthalmus maximus)에서의 Iridovirus 바이러스 감염 - 김위식, 김기홍, 김춘섭, 김영진, 정성주, 정태성, 오명주 (여수대학교 수산생명의학과, 경상대학교 수의학과)

    워터프론트 환경개선을 위한 WTP 분석 - 부산의 해수욕장을 중심으로 - - 김가야, 김정호 (동의대학교 토목도시공학부)

    유류오염 포텐셜 해석을 통한 방제대책 수립방법에 관한 연구 - 부산항을 중심으로 - - 전용호, 류청로, 황창수 (부경대학교 해양공학과)

    장기 ADCP 자료분석을 통한 제주해협 해류의변동특성 - 강재훈 (한국해양연구 해양기후.환경연구본부)

    태풍 '매미'(2003. 9)에 수반된 해일현상 검조자료 분석 - 강용균 (부경대학교 해양학과)

    하구밀도류와 바람장이 영일만 해수유동에 미치는 영향 - 윤한삼, 이인철, 류청로 (부경대학교 해양공학과)

    해양부이형 해양심층수 개발시스템의 개념설계 - 김현주, 정동호 (한국해양연구원 해양심층수연구센터)

    해양심층수 기능성소금 제조를 위한 분무건조기 설계 및 해석 - 김현주, 신필권, 박성제 (부경대학교 해양산업개발연구소, 국립수산과학원 해양연구과, 부경대학교 해양학과)

    해양심층수 이용형 이동식 해상양식시스템 개발(I) - 김현주, 정동호, 최학선 (한국해양연구원 해양개발시스템연구본부)

    해양심층수와 지하염수의 자원특성 비교분석 - 문덕수, 정동호, 김현주 (한국해양연구원 해양개발시스템연구본부)

    해저면지진계 데이터 기록장치 개발 연구 - 홍섭, 김형우, 이종무, 최종수 (한국해양연구원 해양개발시스템연구본부)

  • PC버전
    Information Center for Mathematical Sciences KAIST
    34141 대전광역시 유성구 대학로 291 (구성동373-1)
    한국과학기술원(KAIST) 수리과학정보센터
    전화 042-350-8196
    e-mail : mathnet@mathnet.or.kr
    Copyright (C) 2018. ICMS All Rights Reserved.