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Linear programming and resource allocation modeling
Published 2019Full text (MFA users only)
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Optimizations and programming : linear, nonlinear, dynamic, stochastic and applications with Matlab
Published 2021Table of Contents: “…Programmation. Linear Programming -- Integer Programming -- Dynamic Programming -- Stochastic Programming -- Optimization. …”
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Trends in functional programming. Vol. 5
Published 2006Full text (MFA users only)
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Functional Python programming : discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads
Published 2018Table of Contents: “…Cover -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Understanding Functional Programming -- Identifying a paradigm -- Subdividing the procedural paradigm -- Using the functional paradigm -- Using a functional hybrid -- Looking at object creation -- The stack of turtles -- A classic example of functional programming -- Exploratory data analysis -- Summary -- Chapter 2: Introducing Essential Functional Concepts -- First-class functions -- Pure functions -- Higher-order functions -- Immutable data -- Strict and non-strict evaluation -- Recursion instead of an explicit loop state -- Functional type systems -- Familiar territory -- Learning some advanced concepts -- Summary -- Chapter 3: Functions, Iterators, and Generators -- Writing pure functions -- Functions as first-class objects -- Using strings -- Using tuples and named tuples -- Using generator expressions -- Exploring the limitations of generators -- Combining generator expressions -- Cleaning raw data with generator functions -- Using lists, dicts, and sets -- Using stateful mappings -- Using the bisect module to create a mapping -- Using stateful sets -- Summary -- Chapter 4: Working with Collections -- An overview of function varieties -- Working with iterables -- Parsing an XML file -- Parsing a file at a higher level -- Pairing up items from a sequence -- Using the iter() function explicitly -- Extending a simple loop -- Applying generator expressions to scalar functions -- Using any() and all() as reductions -- Using len() and sum() -- Using sums and counts for statistics -- Using zip() to structure and flatten sequences -- Unzipping a zipped sequence -- Flattening sequences -- Structuring flat sequences -- Structuring flat sequences -- an alternative approach -- Using reversed() to change the order.…”
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R programming fundamentals : deal with data using various modeling techniques
Published 2018Full text (MFA users only)
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The art of R programming : tour of statistical software design
Published 2011Table of Contents: “…7.8 Writing Upstairs7.9 Recursion; 7.10 Replacement Functions; 7.11 Tools for Composing Function Code; 7.12 Writing Your Own Binary Operations; 7.13 Anonymous Functions; 8: Doing Math and Simulations in R; 8.1 Math Functions; 8.2 Functions for Statistical Distributions; 8.3 Sorting; 8.4 Linear Algebra Operations on Vectors and Matrices; 8.5 Set Operations; 8.6 Simulation Programming in R; 9: Object-Oriented Programming; 9.1 S3 Classes; 9.2 S4 Classes; 9.3 S3 Versus S4; 9.4 Managing Your Objects; 10: Input/Output; 10.1 Accessing the Keyboard and Monitor; 10.2 Reading and Writing Files.…”
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Verified Functional Programming in Agda.
Published 2016Table of Contents: “…Intro -- Contents -- Preface -- 1. Functional Programming with the Booleans -- 2. Introduction to Constructive Proof -- 3. …”
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Project and program management : a competency-based approach
Published 2019Table of Contents: “…Cover -- Copyright -- About the Author -- Contents -- List of Illustrations -- Preface -- Introduction -- Chapter 1: Program/Project Management Competencies -- Student PM Competency Model Paper Guidelines -- Chapter 2: The Importance of Program/Project Management -- Chapter 3: Process Management-Evolution and Definition -- Historical Orientation -- General Program Planning Models -- Integrated Linear Models versus Integrated Nonlinear Models -- Evaluation Methodologies and Accountability -- Composition of a Planning Process -- Chapter 4: Contract Types-What Type of Contract Should I Enter Into? …”
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Introduction to Mathematical Optimization : From Linear Programming to Metaheuristics.
Published 2007Table of Contents: “…s Method""; ""5.3.2 Steepest Descent Method""; ""5.4 Hooke-Jeeves Pattern Search""; ""6. Linear Mathematical Programming""; ""6.1 Linear Programming""; ""6.2 Simplex Method""…”
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Write great code. Volume 2, Writing high-level
Published 2006Full text (MFA users only)
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Quantum Monte-Carlo Programming : For Atoms, Molecules, Clusters, and Solids.
Published 2013Table of Contents: “…6.3.5 Cluster Size -- 7 Infinite Number of Electrons: Lithium Solid -- 7.1 Infinite Lattice -- 7.1.1 The Lattices -- 7.1.2 Structure of the Electrostatic Potential -- 7.1.3 Ewald Summation and Tabulation -- 7.1.4 Finite-Size Effects -- 7.2 Wave Function -- 7.2.1 Linear Combination of Atomic Orbitals -- 7.2.2 Plane Waves -- 7.3 Jastrow Factor -- 7.3.1 Standard Choice -- 7.3.2 Principal Ideas and Extensions -- 7.4 Results for the 333 and 444 Superlattice Solid -- 8 Diffusion Quantum Monte Carlo (DQMC) -- 8.1 Towards a First DQMC Program -- 8.1.1 Relating Schrödinger Equation to Diffusion…”
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Proceedings of the Princeton Symposium on Mathematical Programming.
Published 2015Table of Contents: “…TWO METHODS OF DECOMPOSITION FOR LINEAR PROGRAMMING /…”
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