About the Book
The Knowledge Solution. Stop Searching, Stand Out and Pay Off. The #1 ALL ENCOMPASSING Guide to DNA computing.An Important Message for ANYONE who wants to learn about DNA computing Quickly and Easily...
""Here's Your Chance To Skip The Struggle and Master DNA computing, With the Least Amount of Effort, In 2 Days Or Less...""
DNA computing is a form of computing which uses DNA, biochemistry and molecular biology, instead of the traditional silicon-based computer technologies. DNA computing, or, more generally, biomolecular computing, is a fast developing interdisciplinary area. Research and development in this area concerns theory, experiments and applications of DNA computing.
Get the edge, learn EVERYTHING you need to know about DNA computing, and ace any discussion, proposal and implementation with the ultimate book - guaranteed to give you the education that you need, faster than you ever dreamed possible!
The information in this book can show you how to be an expert in the field of DNA computing.
Are you looking to learn more about DNA computing? You're about to discover the most spectacular gold mine of DNA computing materials ever created, this book is a unique collection to help you become a master of DNA computing.
This book is your ultimate resource for DNA computing. Here you will find the most up-to-date information, analysis, background and everything you need to know.
In easy to read chapters, with extensive references and links to get you to know all there is to know about DNA computing right away. A quick look inside: DNA computing, Theoretical computer science, ACM SIGACT, AI box, Algorithm, Algorithm engineering, Automated reasoning, Bigraph, Bio-inspired computing, Bisimulation, Bridging model, British Colloquium for Theoretical Computer Science, Categorical logic, Chemical computer, Coinduction, Complexity function, Computability in Europe, Computation, Computational irreducibility, Computational overhead, Computational problem, Concurrence (quantum computing), Conditional random field, Configurable modularity, Constrained Conditional Models, Corecursion, Correctness (computer science), Digital probabilistic physics, Discrete tomography, Dominance-based rough set approach, Dynamic data driven application system, Epsilon-Biased Sample Spaces, European Association for Theoretical Computer Science, Exact cover, Expander mixing lemma, Extractor (mathematics), Formal language, Formal verification, Fredkin finite nature hypothesis, Full employment theorem, Fundamenta Informaticae, G del Prize, Grammar systems theory, Granular computing, Gustafson's law, Hidden Markov random field, Idempotence, Indirect self-reference, Institution (computer science), Institutional model theory, Interactive computation, Journal of Automata, Languages and Combinatorics, Knuth Prize, Krohn-Rhodes theory, Lambda calculus, LogP machine, Lowest common ancestor, Markov logic network, Markov random field, Monge array, Motion planning, National Institute for Research in Computer Science and Control, Natural computing, Neighbour-sensing model, Nominal techniques, Nominal terms (computer science), Notation for theoretic scheduling problems, Peptide computing, ?-calculus, Postselection, Probabilistic bisimulation, Promise theory, Property testing, Pseudorandomness, Pursuit-evasion, Quantum algorithm, Quantum capacity, Quantum computer, Quantum digital signature, Quantum threshold theorem, Quasi-empiricism in mathematics, Recursion (computer science), Recursive definition, Rough set, Roger Schank, Schwartz-Zippel lemma, Scientific community metaphor, Semigroup action...and Much, Much More!
This book explains in-depth the real drivers and workings of DNA computing. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of DNA computing with the objectivity of experienced professionals - Grab your copy now, while you still can.
