Applied Stochastic Processes
eBook - PDF

Applied Stochastic Processes

  1. 312 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Applied Stochastic Processes

About this book

Applied Stochastic Processes is a collection of papers dealing with stochastic processes, stochastic equations, and their applications in many fields of science. One paper discusses stochastic systems involving randomness in the system itself that can be a large dynamical multi-input, multi-output system. Examples of a large system are the national economy of a major country or when an acoustic wave is propagating as in the atmosphere, ocean, or sea. Another paper proves that only the average properties of the molecules of biology can be measured with precision in the test tube; and disputes a "simplistic" model of the cell as defined by a miniature Laplaces' universe. The paper notes that the way existing cells are constructed implies that quantum mechanical principles lead to certain questions (about simple experiments) having only statistical answers. Another paper addresses the detection of distributed, fluctuating targets in a reverberation limited, randomly time, and space varying transmission media. This approach is done by using the concepts of "random Green's functions" and the "stochastic Green's function." The collection will prove useful for cellular researchers, mathematicians, physicist, engineers, and academicians in the field of applied mathematics, statistics, and chemistry.

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Yes, you can access Applied Stochastic Processes by G. Adomian in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780120443802
eBook ISBN
9781483259086
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Applied Stochastic Processes
  3. Copyright Page
  4. Table of Contents
  5. CONTRIBUTORS
  6. PREFACE
  7. CHAPTER 1. STOCHASTIC SYSTEMS ANALYSIS
  8. CHAPTER 2. VARIATIONAL FORMULATION OF SOME PROBLEMS FOR THE RANDOM HEAT EQUATION
  9. CHAPTER 3. LIMITATIONS ON DETERMINISM AT THE CELLULAR LEVEL IN BIOLOGY DUE TO VARIABILITY AT THE MOLECULAR LEVEL
  10. CHAPTER 4. SOME RANDOM BOUNDARY PROBLEMS IN TWO DIMENSIONS
  11. CHAPTER 5. COMPETITIVE-COOPERATIVE PROCESSES AND STABILITY OF DIFFUSION SYSTEMS
  12. CHAPTER 6. STOCHASTIC DIFFERENTIAL INEQUALITIES OF Itô TYPE
  13. CHAPTER 7. APPROXIMATE SOLUTION OF RANDOM DIFFERENTIAL AND INTEGRAL EQUATIONS
  14. CHAPTER 8. A SURVEY OF STOCHASTIC MODELS FOR BOD AND DO IN STREAMS
  15. CHAPTER 9. SOLUTIONS OF PHYSICAL STOCHASTIC PROCESSES VIA MAPPINGS ONTO IDEAL AND DEFECTIVE RANDOM WALK LATTICES
  16. CHAPTER 10. OPTIMUM DETECTION AND ESTIMATION IN STOCHASTIC TRANSMISSION MEDIA
  17. CHAPTER 11. RECENT DEVELOPMENTS IN NONPARAMETRIC ESTIMATION OF PROBABILITY DENSITY
  18. CHAPTER 12. ON DISSIPATIVE NONLINEAR HAMILTONIAN SYSTEMS