Ebook: Stochastic World

This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory. A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content.

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This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory. A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content.

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This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory. A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content.
Content:
Front Matter....Pages 1-8
Random Events....Pages 1-36
Stochastic Equations....Pages 37-64
Mean Values....Pages 65-87
Probabilities....Pages 89-108
Stochastic Integrals....Pages 109-134
Systems of Equations....Pages 135-162
Stochastic Nature....Pages 163-182
Stochastic Society....Pages 183-210
Computer Modeling....Pages 211-237
Back Matter....Pages 239-337

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This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory. A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content.
Content:
Front Matter....Pages 1-8
Random Events....Pages 1-36
Stochastic Equations....Pages 37-64
Mean Values....Pages 65-87
Probabilities....Pages 89-108
Stochastic Integrals....Pages 109-134
Systems of Equations....Pages 135-162
Stochastic Nature....Pages 163-182
Stochastic Society....Pages 183-210
Computer Modeling....Pages 211-237
Back Matter....Pages 239-337
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