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Mastering Financial Mathematics in Microsoft Excel: A Practical Guide for Business Calculations (2nd Edition) (Financial Times)
Mastering Financial Mathematics in Microsoft Excel: A Practical Guide for Business Calculations (2nd Edition) (Financial Times)

A practical guide for business calculations

Mastering Financial Mathematics in Microsoft © Excel provides a comprehensive set of tools, methods and formulas which apply Excel to solving mathematical problems.

The book:

  • Explains basic calculations for mathematical finance
  • ...
Numerical Methods in Finance with C++ (Mastering Mathematical Finance)
Numerical Methods in Finance with C++ (Mastering Mathematical Finance)

Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book...

Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)
Statistical Mechanics: Algorithms and Computations (Oxford Master Series in Physics)

This book discusses the computational approach in modern statistical physics in a clear and accessible way and demonstrates its close relation to other approaches in theoretical physics. Individual chapters focus on subjects as diverse as the hard sphere liquid, classical spin models, single quantum particles and Bose-Einstein condensation....

Efficient Algorithms for Listing Combinatorial Structures (Distinguished Dissertations in Computer Science)
Efficient Algorithms for Listing Combinatorial Structures (Distinguished Dissertations in Computer Science)

This thesis is concerned with the design of efficient algorithms for listing combinatorial structures. The research described here gives some answers to the following questions: which families of combinatorial structures have fast computer algorithms for listing their members, What general methods are useful for listing combinatorial...

Modern Statistical Methods for Astronomy: With R Applications
Modern Statistical Methods for Astronomy: With R Applications

Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to...

Algorithmic Probability and Combinatorics: Ams Special Sessions on Algorithmic Probability and Combinatorics, October 5-6, 2007, Depaul University, ... Bc, Canada (Contemporary Mathematics)
Algorithmic Probability and Combinatorics: Ams Special Sessions on Algorithmic Probability and Combinatorics, October 5-6, 2007, Depaul University, ... Bc, Canada (Contemporary Mathematics)

This volume contains the proceedings of the AMS Special Sessions on Algorithmic Probability and Combinatories held at DePaul University on October 5-6, 2007 and at the University of British Columbia on October 4-5, 2008.

This volume collects cutting-edge research and expository on algorithmic probability and combinatories. It
...

e-Learning and Social Networking Handbook: Resources for Higher Education
e-Learning and Social Networking Handbook: Resources for Higher Education

Student engagement with digital learning resources and online social networking are strong forces in education today. How can these resources best be utilized by educators and course designers in higher education? This book aims to provide the reader with enough background information to appreciate the value of social networking, especially...

Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using...

Algorithmic Puzzles
Algorithmic Puzzles

While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic...

Efficient Algorithms for Listing Combinatorial Structures (Distinguished Dissertations in Computer Science)
Efficient Algorithms for Listing Combinatorial Structures (Distinguished Dissertations in Computer Science)

This thesis is concerned with the design of efficient algorithms for listing combinatorial structures. The research described here gives some answers to the following questions: which families of combinatorial structures have fast computer algorithms for listing their members, What general methods are useful for listing combinatorial...

Modern Compiler Implementation in C
Modern Compiler Implementation in C

This new, expanded textbook describes all phases of a modern compiler: lexical analysis, parsing, abstract syntax, semantic actions, intermediate representations, instruction selection via tree matching, dataflow analysis, graph-coloring register allocation, and runtime systems. It includes good coverage of current techniques in code...

Penetration Testing Bootcamp
Penetration Testing Bootcamp

Key Features

  • Get practical demonstrations with in-depth explanations of complex security-related problems
  • Familiarize yourself with the most common web vulnerabilities
  • Get step-by-step guidance on managing testing results and reporting

Book Description

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