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Monte Carlo Methods in Chemical Physics
In Monte Carlo Methods in Chemical Physics: An Introduction to the Monte Carlo Method for Particle Simulations J. Ilja Siepmann Random Number Generators for Parallel Applications Ashok Srinivasan, David M. Ceperley and Michael Mascagni Between Classical and Quantum Monte Carlo Methods: "Variational" QMC Dario Bressanini and Peter J. Reynolds Monte Carlo Eigenvalue Methods in Quantum Mechanics and Statistical Mechanics M. P. Nightingale and C.J. Umrigar Adaptive Path-Integral Monte Carlo Methods for Accurate Computation of Molecular Thermodynamic Properties Robert Q. Topper Monte Carlo Sampling for Classical Trajectory Simulations Gilles H. Peslherbe Haobin Wang and William L. Hase Monte Carl...
Local Knowledges, Local Practices
Cornell University has stood at the forefront of writing instruction, at least since the publication of William Strunk and E. B. White's classic, The Elements of Style, in 1918. For the past thirty years Cornell has been the site of a remarkably sustained and successful interdisciplinary approach to writing across the curriculum - a program that now coordinates nearly two hundred courses each semester sponsored by over thirty different departments.Local Knowledges, Local Practices provides an overview of Cornell's rich history and distinguished achievements in training students to write well. Including the views of professors representing a variety of disciplines - from animal science to political science, anthropology to philosophy, romance studies to neurobiology - this collection will serve as a resource for anyone interested in broadly conceived, discipline-specific writing instruction.
The Touchstone of Life
A world-renowned biophysicist answers the ancient riddles of life by applying information theory to recent discoveries in molecular biology. The book offers a breathtaking view of that hidden world where molecular information turns the wheels of life. 33 halftones. 53 linecuts.
Large-Scale Optimization with Applications
With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid and solid mechanics, the major themes include an assessment of the state of the art in optimization algorithms as well as challenging applications in design and control, in the areas of process engineering and systems with partial differential equation models.
Advances in Cancer Research
Advances in Cancer Research
Statistical Mechanics of Biocomplexity
This book demonstrates the usefulness of tools from statistical mechanics for biology. It includes the new tendencies in topics like membranes, vesicles, microtubules, molecular motors, DNA, protein folding, phase transitions in biological systems, evolution, population dynamics, neural systems and biological oscillators, with special emphasis on the importance of statistical mechanics in their development. The book addresses researchers and graduate students.
Protein Phosphorylation
This volume provides a compilation of recent methods for studying protein phosphorylation.
Computational Molecular Dynamics: Challenges, Methods, Ideas
On May 21-24, 1997 the Second International Symposium on Algorithms for Macromolecular Modelling was held at the Konrad Zuse Zentrum in Berlin. The event brought together computational scientists in fields like biochemistry, biophysics, physical chemistry, or statistical physics and numerical analysts as well as computer scientists working on the advancement of algorithms, for a total of over 120 participants from 19 countries. In the course of the symposium, the speakers agreed to produce a representative volume that combines survey articles and original papers (all refereed) to give an impression of the present state of the art of Molecular Dynamics. The 29 articles of the book reflect the main topics of the Berlin meeting which were i) Conformational Dynamics, ii) Thermodynamic Modelling, iii) Advanced Time-Stepping Algorithms, iv) Quantum-Classical Simulations and Fast Force Field and v) Fast Force Field Evaluation.
Regulation of the Eukaryotic Cell Cycle
Comprised of the latest developments in cell cycle research, it analyzes the principles underlying the control of cell division. Offers a framework for future investigation, especially that aimed toward understanding and treatment of cancer.
Lecture Notes on Computational Structural Biology
While the field of computational structural biology or structural bioinformatics is rapidly developing, there are few books with a relatively complete coverage of such diverse research subjects studied in the field as X-ray crystallography computing, NMR structure determination, potential energy minimization, dynamics simulation, and knowledge-based modeling. This book helps fill the gap by providing such a survey on all the related subjects. Comprising a collection of lecture notes for a computational structural biology course for the Program on Bioinformatics and Computational Biology at Iowa State University, the book is in essence a comprehensive summary of computational structural biology based on the author's own extensive research experience, and a review of the subject from the perspective of a computer scientist or applied mathematician. Readers will gain a deeper appreciation of the biological importance and mathematical novelty of the research in the field.
