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Applied Mathematics
The physicist, in his study of natural phenomena, has two methods of making progress: (1) the method of experiment and observation, and (2) the method of mathematical reasoning. The former is just the collection of selected data; the latter enables one to infer results about experiments that have not been performed. There is no logical reason why the second method should be possible at all, but one has found in practice that it does work and meets with reasonable success.
- Paul Dirac
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University of Southern California Course MaterialsApplied Statistics I Eleni Matechou Oxford University MT 2013 - Part B Statistical Lifetime Models James Martin Oxford University 2014
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MATRIX LIE GROUPS AND CONTROL THEORY Jimmie Lawson Summer LSU 2007
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Math for Electrical Engineers Eleftherios Gkioulekas University of Texas Pan American
Mathematical Biology Jeffrey R. Chasnov The Hong Kong University of Science and Technology
MATHEMATICAL CRYPTOLOGY Keijo Ruohonen (Translation by Jussi Kangas and Paul
Coughlan) 2010Cryptography and Network Security Xiang-Yang Li Illinois Institute of Technology
Cryptography Lecture Notes by Oded Goldreich Weizmann Institute 1996
Cryptography Lecture Notes S. Goldwasser and M. Bellar University of Califorina San
DiegoApplied Mathematics Lecture Notes Peter J. Oliver University of Minnesota December 14,
2012Modern Cryptography Phil Rogaway University of California at Davis Winter 2000
Computational Molecular Biology Semester I Graham Ellis NUI Galway
Methods of Applied Mathematics Lecture Notes William G. Faris University of Arizona May
14, 2002Voting, Arbitration, and Fair Division The mathematics of social choice Marcus Pivato
Trent University March 10, 2007Statistical Signal Processing by R M Grey Stanford University
MATHEMATICAL ECONOMICS 1 Alexander W. Richter Auburn University February 2013
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The Digital Nature of Biology Ridgeway Scott University of Chicago Winter quarter 2013
Software Engineering Clark W. Barrett NYU
Programming Languages Clark Barrett NYU Spring 2012
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Linear and Nonlinear Dispersive Waves DRAFT M.I. Weinstein Columbia University October 22, 2006
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Random walks and electric networks Peter G. Doyle J. Laurie Snell Book Draft:Version
dated 5 July 2006 GNU FDLMathematical Biology: Discrete and Probabilistic COURSE NOTES by Daniel Ocone
Rutgers UniversityCryptology Wesley Pegden Rutgers University Version: January 19, 2010
Mathematical Systems Biology Eduardo D. Sontag, Rutgers University 2013 Version
Mathematical Modeling Jerry Alan Veeh Auburn University August 8, 2003
Actuarial Mathematics Jerry Alan Veeh Auburn University May 1, 2006
Modeling with Differential Equations Carnigie Mellon University 21-124
- Mathematical Methods lecture notes 231 SF Trinity College Dublin231 SF
- Modeling and Simulation lecture notes Peter Olsson Oleg Seleznjev Claude Lacoursiere
Universtat UmeaTopics in Applied Mathematics:Random Processes. 2007 Course Materials Renato FERES. Washington University. St. Louis.Random Signals and Noise John STENSBY University of Alabama at Huntsville Summer 2015
Mathematical Methods Raymond Brummelhuis Univeristy of London
A short course on mean eld spin glasses Anton Bovier and Irina Kurkova University of Bonn
Percolation Ariel Yadin Ben Gurion University Department of Mathematics Spring 2013
Parameter Estimation L. T. Biegler Carnegie Mellon University Pittsburgh March 30, 2000
Systems of Linear Equations L. T. Biegler Carnegie Mellon University February 18, 2000
Systems of Nonlinear Equations Part II L. T. Biegler Carnegie Mellon University February 24, 2000
Mathematical Biology Lecture Notes Eduardo D. Sontag, Rutgers University, 2005,2006
Automated Solution of Differential Equations by the Finite Element Method
Neural Networks Ben Krose Patrick van der Smagt 8th ed November 1996
Cryptography Shafi Goldwasser University of Cambridge and Mihir Bellare MIT
August 2001Mathematical Linear Programming Richard Barraclugh University of Burmingham MSMYM1
ALGORITHMS AND COMPLEXITY ANDREW TULLOCH AND GILES GARDAM University of Sydney
Linear Methods of Applied Mathematics Evans M. Harrell II and James V. Herod
Georgia Tech University 1997
Coding and Cryptography T. W. Korner University of Cambridge May 30, 2012Mathematical Biology:Topics in Mathematics and Biochemistry-Biophysics Bo Li Spring 2011 USCD
Scattering Theory Lecture Notes David Colton University of Delaware 2010
Mathematical Biology David Swigon University of Pittsburgh Fall 2005 Course
LINEAR PROGRAMMING A Concise Introduction Thomas S. Ferguson UCLA
Linear Algebra, Infinite Dimensions, and Maple by Jim Herod Georgia Tech
Techniques of Applied Mathematics Helen Lowe Mathematical Institute University of Oxford
Mathematical Physiology S.J.Chapman.AC Fowler & R Hinch Oxford University
2006C++ for Scientific Computing: Joe Pitt-Francis Oxford University 2012-2013 Course Materials
Computational Methods in Biology Lecture Notes Richard Bertram Florida State Cryptography
Introduction to Cryptography I Nigel Boston University of Wisconsin-Madison Spring 2007
Methods of Applied Mathematics I: Fall 2012 Jean-Luc Thiffeault University of Wisconsin-Madison Math 703
Waveform design and quantum detection matched filtering John J. Benedetto University of
MarylandWaveform design and Sigma-Delta quantization John J . Benedetto University of Maryland
Principles of Complex Systems, Season 6 Peter Sheridan Dodds University of Vermont 2013
Complex Networks Course CSYS/MATH 303, Spring 2009 Peter Sheridan Dodds University of Vermont
Cryptography:An Introduction Network Associates, Inc. and its Affiliated Companies
Applied Linear Algebra Math 104 Stanford University Fall 2008 Class notes
Laurent Demanet MIT Draft December 1, 2008Applied Mathematics 18.325 - Waves and Imaging Fall 2012 - Class notes
Laurent Demanet Draft December 5, 2012Coding Theory & Cryptography John C. Bowman University of Alberta Edmonton, Canada
January 17, 2010Introduction to Theory of Computation Anil Maheshwari Michiel Smid School of
Computer Science Carleton University October 3, 2012Mathematical Physics Course Materials Laszlo Erdos 2008
Information Theory Even Chou New York University
Discrete Mathematical Modeling Ann Greenbaum University of Washington Math
381 Course Notes 2006Notes on Multilinear Algebra and Tensor Calculus (For the course Geometrical
Methods in Mathematical Physics) Valter Moretti University of Trento Italy 2005-2006DIV.GRAD AND CURL ARE DEAD by William L Burke (posthumous manuscript)
Applied Analysis Lenya Ryzhik Stanford University 2006
Lecture Notes on Cryptography Shafi Goldwasser1 Mihir Bellare University of
California San Diego July 2008Mathematical Models in Physics: Relativistic Electrodynamics and Differential Forms James Cook NCSU
Tensor Techniques in Physics – a concise introduction Roy McWeeny Professore Emerito
di Chimica Teorica, Universit`a di Pisa, PisaMATHEMATICAL TECHNIQUES IN STRUCTURAL BIOLOGY J. R. QUINE Florida State
Advanced Cryptography Yevgeniy Dodis NYU Fall 2009
Computational Geometry David M. Mount Department of Computer Science University of
Maryland CMSC 754 Fall 2002Information Networks Cryptography and Cryptanalysis Anna Lysyanskaya MIT Fall 2001
Introduction to Computational Topology Bala Krishnamoorthy Wichita State
University 2012Linear Control Claudiu C. Remsing RHODES UNIVERSITY 2006
Quantum Mechanics for Mathematicians Peter Woit Columbia University Fall 2014
Mathematical Modeling Joseph M Mahaffy San Diego State University 2013
Nonlinear Systems by Peter J. Olver University of Minnesota
Mathematical Techniques III Jose Figueroa-O'Farrill Queen Mary College of the
University of London December 5, 2004METHOD OF ANALYSIS Siu - Cheong Lau Harvard University Fall 2013
Geometry and Relativity John Roe Penn State University December 27, 2003
Notes on complexity Peter J. Cameron School of Mathematical Sciences Queen Mary University of London
CODES AND CRYPTOGRAPHY Michaelmas 2013 T. K. Carne 21 November, 2013
Cryptography Lecture Notes from CS276 Spring 2009 Luca Trevisan Stanford University Lecture Notes on Cryptography Shafi Goldwasser and Mihir Bellare MIT July 2008
Introduction to Modern Cryptography Mihir Bellare and Phillip Rogaway UCSD 2007
Lecture in Information Theory Part I by Fady Alajaji and Po-Ning Chen Queen’s University Kingston,
Lecture in Information Theory Part II by Fady Alajaji and Po-Ning Chen Queen’s University Kingston,
An introduction to Lagrangian and Hamiltonian mechanics Lecture notes Simon J.A. Malham Heriot-Watt University
Introductory fluid mechanics Simon J.A. Malham Heriot-Watt University November 2012
Introduction to applied mathematics Simon J.A. Malham Simon J.A. Malham
Heriot-Watt University November 2012Applied Partial Differential Equations and Complex Variables Thomas Witelski
Duke University Fall 2013Introduction to Mathematical Economics I Professor Ariell Reshef University of
VirginiaLanguages And Machines Christopher Cooper McQuarrie University
Cryptography Christopher Hughes University of York 2012-2013