Background
Tucker, Alan Curtiss was born on July 6, 1943 in Princeton, New Jersey, United States. Son of Albert William and Alice Judson (Curtiss) W.
(This book teaches students in the mathematical sciences h...)
This book teaches students in the mathematical sciences how to reason and model combinatorically. It seeks to develop proficiency in basic discrete math problem solving in the way that a calculus textbook develops proficiency in basic analysis problem solving. The three principle aspects of combinatorical reasoning emphasized in this book are: the systematic analysis of different possibilities, the exploration of the logical structure of a problem (e.g. finding manageable subpieces or first solving the problem with three objects instead of n), and ingenuity. Although important uses of combinatorics in computer science, operations research, and finite probability are mentioned, these applications are often used solely for motivation. Numerical examples involving the same concepts use more interesting settings such as poker probabilities or logical games. This book is designed for use by students with a wide range of ability and maturity (sophomores through beginning graduate students). The stronger the students, the harder the exercises that can be assigned. The book can be used for one-quarter, two-quarter, or one-semester course depending on how much material is used.
http://www.amazon.com/Applied-Combinatorics-Alan-Tucker/dp/0471735078%3FSubscriptionId%3DAKIAJRRWTH346WSPOAFQ%26tag%3Dprabook-20%26linkCode%3Dsp1%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0471735078
(A course based on the models, methods, and theory of mode...)
A course based on the models, methods, and theory of modern linear algebra based on the material presented in this book, should prove to be the most useful college mathematics course most students will ever take.
http://www.amazon.com/Unified-Introduction-Linear-Algebra-Methods/dp/0024215805%3FSubscriptionId%3DAKIAJRRWTH346WSPOAFQ%26tag%3Dprabook-20%26linkCode%3Dsp1%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0024215805
(Explains how to reason and model combinatorially. Enables...)
Explains how to reason and model combinatorially. Enables students to develop proficiency in fundamental discrete math problem solving in the manner that a calculus textbook develops competence in basic analysis problem solving. Stresses the systematic analysis of different possibilities, exploration of the logical structure of a problem and ingenuity. This edition contains many new exercises.
http://www.amazon.com/Applied-Combinatorics-Alan-Tucker/dp/0471595047%3FSubscriptionId%3DAKIAJRRWTH346WSPOAFQ%26tag%3Dprabook-20%26linkCode%3Dsp1%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0471595047
(This book is designed for use by students with a wide ran...)
This book is designed for use by students with a wide range of ability and maturity. The stronger the students, the harder the exercises that can be assigned. The book can be used for one-quarter, two-quarter, or one-semester course depending on how much material is used. Combinatorical reasoning underlies all analysis of computer systems. It plays a similar role in discrete operations research problems and in finite probability. This book teaches students in the mathematical sciences how to reason and model combinatorically. It seeks to develop proficiency in basic discrete math problem solving in the way that a calculus textbook develops proficiency in basic analysis problem solving. The three principle aspects of combinatorical reasoning emphasized in this book are: the systematic analysis of different possibilities, the exploration of the logical structure of a problem (e.g. finding manageable subpieces or first solving the problem with three objects instead of n), and ingenuity. Although important uses of combinatorics in computer science, operations research, and finite probability are mentioned, these applications are often used solely for motivation. Numerical examples involving the same concepts use more interesting settings such as poker probabilities or logical games.
http://www.amazon.com/Applied-Combinatorics-Alan-Tucker/dp/047143809X%3FSubscriptionId%3DAKIAJRRWTH346WSPOAFQ%26tag%3Dprabook-20%26linkCode%3Dsp1%26camp%3D2025%26creative%3D165953%26creativeASIN%3D047143809X
(This revision of a survey of combinatorial analysis and g...)
This revision of a survey of combinatorial analysis and graph theory is designed for students specializing in mathematics and computer science. Three principal aspects of combinatorial reasoning are emphasized in the book: the systematic analysis of different possibilities, the exploration of the logical structure of a problem, and ingenuity. Keeping theory to a minimum, it uses numerical examples to demonstrate the combinatorial reasoning involved in computer science, operations research and finite probability. The cloth edition of this book was published April 1985.
http://www.amazon.com/Applied-Combinatorics-Alan-Tucker/dp/0471635790%3FSubscriptionId%3DAKIAJRRWTH346WSPOAFQ%26tag%3Dprabook-20%26linkCode%3Dsp1%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0471635790
(Alan Tucker's newest issue of Applied Combinatorics build...)
Alan Tucker's newest issue of Applied Combinatorics builds on the previous editions with more in depth analysis of computer systems in order to help develop proficiency in basic discrete math problem solving. As one of the most widely used book in combinatorial problems, this edition explains how to reason and model combinatorically while stressing the systematic analysis of different possibilities, exploration of the logical structure of a problem, and ingenuity.
http://www.amazon.com/Applied-Combinatorics-Alan-Tucker/dp/0470458380%3FSubscriptionId%3DAKIAJRRWTH346WSPOAFQ%26tag%3Dprabook-20%26linkCode%3Dsp1%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0470458380
Tucker, Alan Curtiss was born on July 6, 1943 in Princeton, New Jersey, United States. Son of Albert William and Alice Judson (Curtiss) W.
Bachelor, Harvard University, 1965. Master of Science, Stanford University, 1967. Doctor of Philosophy, Stanford University, 1969.
Assistant professor applied mathematics, State University of New York, Stony Brook, 1970-1973;
associate professor applied mathematics, State University of New York, Stony Brook, 1973-1978;
professor applied mathematics, chairman, State University of New York, Stony Brook, 1978-1989;
State University of New York Distinguished Teaching professor, State University of New York, Stony Brook, since 1989. Visiting assistant professor mathematics University of Wisconsin, Madison, 1969-1970. Visiting associate professor computer science University of California, San Diego, 1976-1977.
Visiting professor operations research Stanford University, 1983-1984. Consultant Sloan Foundation, 1981-1985. Academic consultant 40 colleges universities.
(A course based on the models, methods, and theory of mode...)
(Alan Tucker's newest issue of Applied Combinatorics build...)
(This revision of a survey of combinatorial analysis and g...)
(This book teaches students in the mathematical sciences h...)
(This book is designed for use by students with a wide ran...)
(Explains how to reason and model combinatorially. Enables...)
(paperback)
Fellow American Association Advisory Science. Member Mathematics Association American (chairman publications 1982-1986, editor Studies in Mathematics series 1979-1986, vice president 1988-1990, chairman educational council 1990-1996, Distinguished Teacher award 1994, Trevor Evans award 1996, Meritorious Service award 2005), United States Commission Mathematics Instruction, American Mathematics Society, Operations Research Society of America, Society Industrial Applied Mathematics, Sigma Xi (chapter president since 1987).
Married Amanda Almira Zeisler, August 31, 1968 (divorced 1997). Children: Lisa, Kathryn, Edward, James. Married Ann K. Hong, February 16, 1997.