Introduction to computational models with python. (2015)

• Record Type: Book
• Further Information: Note: Jose M. Garrido.
• Authors: Garrido, José M
• Contents: Problem Solving; Problem Solving and Computing; INTRODUCTION; COMPUTER PROBLEM SOLVING; ELEMENTARY CONCEPTS; DEVELOPING COMPUTATIONAL MODELS; TEMPERATURE CONVERSION; AREA AND PERIMETER OF A CIRCLE; CATEGORIES OF COMPUTATIONAL MODELS; GENERAL PROCESS OF SOFTWARE DEVELOPMENT; MODULAR DESIGN; PROGRAMMING LANGUAGES; PRECISION, ACCURACY, AND ERRORS Simple Python Programs ; INTRODUCTION; COMPUTING WITH PYTHON; PROGRAMS; DATA DEFINITIONS; SIMPLE PYTHON PROGRAMS; A SIMPLE PROBLEM: TEMPERATURE CONVERSION; DISTANCE BETWEEN TWO POINTS; GENERAL STRUCTURE OF A PYTHON PROGRAM; SIMPLE FUNCTIONS Basic Programming Principles with Python; Modules and Functions ; INTRODUCTION; MODULAR DECOMPOSITION; FUNCTIONS; CATEGORIES OF FUNCTIONS; BUILT-IN MATHEMATICAL FUNCTIONS Program Structures ; INTRODUCTION; ALGORITHMS; IMPLEMENTING ALGORITHMS; ALGORITHM DESCRIPTION; DESIGN STRUCTURES; COMPUTING AREA AND CIRCUMFERENCE The Selection Program Structure; INTRODUCTION; CONDITIONAL EXPRESSIONS; THE SELECTION STRUCTURE; A COMPUTATIONAL MODEL WITH SELECTION; MULTI-LEVEL SELECTION The Repetition Program Structure ; INTRODUCTION; REPETITION WITH THE WHILE-LOOP ; REPEAT-UNTIL LOOP; FOR-LOOP STRUCTURE Data Structures, Object Orientation, and Recursion; Python Lists, Strings, and Other Data Sequences ; INTRODUCTION; LISTS; TEMPERATURE CONVERSION PROBLEM; LIST COMPREHENSIONS; LISTS OF LISTS; TUPLES; DICTIONARIES; STRINGS; SIMPLE NUMERICAL APPLICATIONS USING LISTS Object Orientation ; INTRODUCTION; OBJECTS IN THE PROBLEM DOMAIN; DEFINING CLASSES; DESCRIBING OBJECTS; INTERACTION BETWEEN TWO OBJECTS; DESIGN WITH CLASSES Object-Oriented Programs; INTRODUCTION; PROGRAMS; DEFINITION OF CLASSES; CLASS DEFINITIONS IN PYTHON; CREATING AND MANIPULATING OBJECTS; COMPLETE PROGRAM WITH A CLASS; SCOPE OF VARIABLES; CLASS HIERARCHY WITH INHERITANCE; DEFINING CLASSES WITH INHERITANCE; OVERLOADING AND OVERRIDING METHODS Linked Lists; INTRODUCTION; NODES AND LINKED LISTS; LINKED LISTS WITH TWO ENDS; DOUBLE-LINKED LISTS; STACKS AND QUEUES DATA STRUCTURES Recursion; INTRODUCTION; RECURSIVE APPROACH TO PROBLEM SOLVING; RECURSIVE DEFINITION OF FUNCTIONS; ANALYZING RECURSION Fundamental Computational Models with Python; Computational Models with Arithmetic Growth; INTRODUCTION; MATHEMATICAL MODELING; MODELS WITH ARITHMETIC GROWTH; USING THE PYTHON LANGUAGE AND NUMPY; PRODUCING THE CHARTS OF THE MODEL; VALIDATION OF A MODEL; FILE I/O Computational Models with Quadratic Growth ; INTRODUCTION; DIFFERENCES OF THE DATA; DIFFERENCE EQUATIONS; FUNCTIONAL EQUATIONS; EXAMPLES OF QUADRATIC MODELS Models with Geometric Growth; INTRODUCTION; BASIC CONCEPTS; FUNCTIONAL EQUATIONS IN GEOMETRIC GROWTH Computational Models with Polynomial Growth ; INTRODUCTION; GENERAL FORMS OF POLYNOMIAL FUNCTIONS; THE polynomial MODULE OF THE numpy PACKAGE; EVALUATION OF POLYNOMIAL FUNCTIONS; SOLVING POLYNOMIAL FUNCTIONS Empirical Models with Interpolation and Curve Fitting ; INTRODUCTION; INTERPOLATION; CURVE FITTING; MODELING THE HEAT CAPACITY OF CARBON DIOXIDE Using Arrays with Numpy ; INTRODUCTION; VECTORS AND OPERATIONS; VECTOR PROPERTIES AND CHARACTERISTICS; USING ARRAYS IN PYTHON WITH NUMPY; SIMPLE VECTOR OPERATIONS Models with Matrices and Linear Equations ; INTRODUCTION; MATRICES; MATRIX MANIPULATION WITH NUMPY; SOLVING SYSTEMS OF LINEAR EQUATIONS; INDUSTRIAL MIXTURES IN MANUFACTURING Introduction to Models of Dynamical Systems ; INTRODUCTION; AVERAGE AND INSTANTANEOUS RATE OF CHANGE; THE FREE-FALLING OBJECT; DERIVATIVE OF A FUNCTION; NUMERICAL INTEGRATION; WORK PRODUCED IN A PISTON WITH AN IDEAL GAS; DIFFERENTIAL EQUATIONS; MODELS OF DYNAMICAL SYSTEMS; FORMULATING SIMPLE EXAMPLES; SOLUTION OF DIFFERENTIAL EQUATIONS Linear Optimization Models; Linear Optimization Modeling; INTRODUCTION; GENERAL FORM OF A LINEAR OPTIMIZATION MODEL; THE SIMPLEX ALGORITHM; DESCRIPTION OF THE SIMPLEX ALGORITHM; FORMULATION OF LINEAR OPTIMIZATION MODELS; EXAMPLE PROBLEMS Solving Linear Optimization Models; INTRODUCTION; LINEAR OPTIMIZATION MODELS WITH PYTHON; MODELING WITH PYOMO; MODELING WITH PULP; SOFTWARE LINEAR OPTIMIZATION SOLVERS; SHORT LIST OF OPTIMIZATION SOLVERS Sensitivity Analysis and Duality ; INTRODUCTION; SENSITIVITY ANALYSIS; DUALITY Transportation Models ; INTRODUCTION; MODEL OF A TRANSPORTATION PROBLEM; TRANSPORTATION CASE STUDY 1; UNBALANCED PROBLEM: CASE STUDY 2; UNBALANCED PROBLEM: CASE STUDY 3; TRANSSHIPMENT MODELS; TRANSSHIPMENT PROBLEM: CASE STUDY 4; ASSIGNMENT PROBLEMS 7; ASSIGNMENT PROBLEM: CASE STUDY 5 Network Models; INTRODUCTION; GRAPHS; SHORTEST PATH PROBLEM ; SHORTEST PATH: CASE STUDY 1; MAXIMUM FLOW PROBLEMS; CRITICAL PATH METHOD; REDUCING THE TIME TO COMPLETE A PROJECT Integer Linear Optimization Models; INTRODUCTION; MODELING WITH INTEGER VARIABLES; APPLICATIONS OF INTEGER LINEAR OPTIMIZATION; INTEGER LINEAR OPTIMIZATION: CASE STUDY 1; INTEGER LINEAR OPTIMIZATION: CASE STUDY 2 A Summary and Exercises appear at the end of each chapter.
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2015
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 003.3513; Computer simulation; Python (Computer program language)
• Languages: English
• ISBNs: 9781498712040
• Related ISBNs: 9781498712033
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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