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An Introduction to the Theory of Numbers
An Introduction to the Theory of NumbersG.H. Hardy, E.M. WrightI. The series of primes (1)
II. The series of primes (2)
III. Farey series and a theorem of Minkowski
IV. Irrational numbers
V. Congruences and residues
VI. Fermat's theorem and its consequences
VII. General properties of congruences
VIII. Congruences to composite moduli
IX. The representation of numbers by decimals
X. Continued fractions
XI. Approximation of irrationals by rationals
XII. The fundamental theorem of arithmetic in k(1)...
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Linear Algebra and its Applications
Linear Algebra and its ApplicationsDavid C. Lay1. Linear Equations in Linear Algebra
2. Matrix Algebra
3. Determinants
4. Vector Spaces
5. Eigenvalues and Eigenvectors
6. Orthogonality and Least Squares
7. Symmetric Matrices and Quadratic Forms
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Contemporary Abstract Algebra
Contemporary Abstract AlgebraJoseph A. Gallian1. Integers and Equivalence Relations
2. Groups
3. Rings
4. Fields
5. Special Topics
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Discrete and Combinatorial Mathematics - An Applied Introduction
Discrete and Combinatorial Mathematics - An Applied IntroductionRalph P. Grimaldi1. Fundamental Principles of Counting
2. Fundamentals of Logic
3. Set Theory
4. Properties of the Integers: Mathematical Induction
5. Relations and Functions
6. Languages: Finite State Machines
7. Relations: The Second Time Around
8. The Principle of Inclusion and Exclusion
9. Generating Functions
10. Recurrence Relations
11. An Introduction to Graph Theory
12. Trees
13. Optimization and Matching
14. Rings and Modul...
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Mathematical Methods for Scientists and Engineers
Mathematical Methods for Scientists and EngineersDonald A. McQuarrie1. Functions of a Single Variable
2. Infinite Series
3. Functions Defined As Integrals
4. Complex Numbers and Complex Functions
5. Vectors
6. Functions of Several Variables
7. Vector Calculus
8. Curvilinear Coordinates
9. Linear Algebra and Vector Spaces
10. Matrices and Eigenvalue Problems
11. Ordinary Differential Equations
12. Series Solutions of Differential Equations
13. Qualitative Methods for Nonlinear Differential Equati...
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Thomas' Calculus - Early Transcendentals
Thomas' Calculus - Early TranscendentalsGeorge B. Thomas, Maurice D. Weir, Joel R. Hass1. Functions
2. Limits and Continuity
3. Differentiation
4. Applications of Derivatives
5. Integration
6. Applications of Definite Integrals
7. Integrals and Transcendental Functions
8. Techniques of Integration
9. Further Applications of Integration
10. Conic Sections and Polar Coordinates
11. Infinite Sequences and Series
12. Vectors and the Geometry of Space
13. Vector-Valued Functions and Motion in Space
1...
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Calculus - Early Transcendentals
Calculus - Early Transcendentals James StewartInclusief twee Complete Solutions Manuals (939 en 601 pagina's)
1. Functions and Models
2. Limits and Rates of Change
3. Derivatives
4. Applications of Differentiation
5. Integrals
6. Applications of Integration
7. Inverse Functions: Exponential, Logarithmic, and Inverse Trigonometric Functions
8. Techniques of Integration
9. Further Applications of Integration
10. Differential Equations
11. Parametric Equations and Polar Coordinates
12. Infinite Se...
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Foundations of Algebra and Analysis - An Elementary Approach
Foundations of Algebra and Analysis - An Elementary ApproachAnthony R. Lovaglia, Gerald C. Preston1. Logic and Sets
2. The Integers
3. The Rational Numbers
4. The Real Numbers
5. Complex Numbers and Vectors
6. Functions
7. Summation
8. Polynomials
9. The Trigonometric Funtions
10. Finite and Infinite Sets
11. Matrices and Determinants
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Advanced Mathematics 1+2
Advanced Mathematics 1+2L.K. Turner, D. Knighton, F.J. Budden1. Introduction
2. Functions
3. Rates of Change: differentiation
4. Areas: integration
5. Trigonometric functions
6. Sequences and series
7. Probability and statistics
8. Introduction to vectors
9. Introduction to mechanics
10. Further calculus
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11. Further vectors
12. Complex numbers
13. Differential equations
14. Further mechanics
15. Probability distributions and further statistics
16. Matrices and transformations, determinants...
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Sequential Analysis
Sequential AnalysisAbraham WaldI. General Theory
II. Application of the General Theory to Special Cases
III. The Problem of Multi-Valued Decisions and Estimation
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Applied Probability and Queues
Applied Probability and QueuesSøren AsmussenPart A: Simple Markovian Models
1. Markov Chains
2. Markov Jump Processes
3. Queueing Theory at the Markovian Level
4. Queueing Networks and Insensitivity
Part B: Some General Tools and Methods
5. Renewal Theory
6. Regenerative Processes
7. Further Topics in Renewal Theory and Regenerative Processes
8. Random Walks
9. Lévy Processes, Reflection and Duality
Part C: Special Models and Methods
10. Steady-State Properties of of GI/G/1
11. Markov Additi...
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A compensation approach for queueing problems
A compensation approach for queueing problemsI.J.B.F. Adan1. Introduction
2. The compensation approach to two-dimensional Markov processes
3. The symmetric shortest queue problem
4. Multiprogramming queues
5. The asymmetric-shortest queue problem
6. Conclusions and comments
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Polling Systems
Polling SystemsS.C. Borst1. Introduction
2. Decomposition properties and pseudo-conservation laws in polling models
3. Polling systems with zero and non-zero switch-over times
4. A pseudo-conservation law for a polling system with a dormant server
5. A globally gated polling system with a dormant server
6. Optimization of k-limited service strategies
7. Optimization of fixed time polling schemes
8. Optimal allocation of customer types to servers
9. Polling systems with multiple coupled servers
1...
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Probability and Random Processes
Probability and Random ProcessesG.R. Grimmett, D.R. Stirzaker1. Events and their probabilities
2. Random variables and their distributions
3. Discrete random variables
4. Continuous random variables
5. Generating functions and their applications
6. Markov chains
7. Convergence of random variables
8. Random processes
9. Stationary processes
10. Renewals
11. Queues
12. Martingales
13. Diffusion processes
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Introductory Mathematical Statistics
Introductory Mathematical StatisticsErwin KreyszigPrinciples and Methods
1. Introduction
2. Frequency Distribution of a Sample
3. Sample Mean and Sample Variance
4. Fundamental Conceps of Probability Theory
5. Probability Distribution
6. Mean, Variance, and Skewness of a Distribution
7. Special Discrete Distributions
8. Normal Distribution
9. Probability Distributions of Several Random Variables
10. Distributions Used in Tests
11. Estimation of Parameters
12. Confidence Intervals
13. Testing of ...
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Introduction to Mathematical Statistics
Introduction to Mathematical StatisticsRobert V. Hogg, Allen T. Craig1. Distributions of Random Variables
2. Conditional Probability and Stochastic Independence
3. Some Special Distributions
4. Distributions of Functions of Random Variables
5. Limiting Distributions
6. Interval Estimation
7. Point Estimation and Sufficient Statistics
8. Further Topics in Point Estimation
9. Statistical Hypotheses
10. Other Statistical Tests
11. Nonparametric Methods
12. Further Normal Distribution Theory
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An Introduction to Sets, Probability and Hypothesis Testing
An Introduction to Sets, Probability and Hypothesis TestingHoward F. Fehr, Lucas N.H. Bunt, George GrossmanI. Sets and Set Operations
II. Permutations and Combinations
III. Introduction to Probability
IV. The Binomial Distribution
V. Hypothesis Testing - Part I
VI. Hypothesis Testing - Part II
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Introduction to Probability and Statistics
Introduction to Probability and StatisticsB.W. Lindgren, G.W. McElrath1. Discrete Probability Models
2. Discrete Random Variables
3. Introduction to Inference
4. Continuous Random Variables
5. Sampling
6. Some Large Sample Statistics
7. Inference for Normal Populations
8. Selection of Procedures
9. Some Nonparametric Procedures
10. Linear Models
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Elementary Probability Theory with Stochastic Processes
Elementary Probability Theory with Stochastic ProcessesKai Lai Chung1. Set
2. Probability
3. Counting
4. Random Variables
5. Conditioning and Independence
6. Mean, Variance and Transforms
7. Poisson and Normal Distributions
8. From Random Walks to Markov Chains
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Statististische technieken en hun toepassingen
Statististische technieken en hun toepassingenH.P. Anderson1. Het verzamelen en rangschikken van statistisch cijfermateriaal
2. Frequentieverdelingen en hun karakteristieke grootheden
3. De normale verdeling en haar eigenschappen
4. Het lineair-stochastische verband tussen twee variabelen
5. Het optellen en aftrekken van stochastische variabelen
6. Enkele grondbeginselen van de waarschijnlijkheidsrekening
7. De binomiale verdeling
8. De Poissonverdeling
9. Herhalingsopgaven
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