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Your search for Books by Keywords = Engineering has returned 6 results:

Reports of the Technical Industrial Disarmament Committees. Washington: Foreign Economic Administration, 1945. 1st edition. 2 volumes 4to. Cloth. Very good ex-library copy "Defense Mobilization Library" and "Office of Emergency Planning" Library These two volumes (complete) contain 32 reports (marked "RESTRICTED")on many aspects of German industry at the end of the war, with most of them published in June and July 1945. It was an inter-departmental undertaking (including the Foreign economic administration, Army, Navy and others)and includes a list of 0ver 200 contributors. All have their original printed wrappers bound in with the separately paginated reports. Includes reports on industriy "involved in the production of armament...", aircraft, scientific research, engineering in the "secret weapon field" (32pp), light metals, petroleum, rubber, electronic equipment, machine tools, chemical, electric power, foreign trade, optical glass, "participation in international cartels"(!!), and others. (Book ID 20749) $1,500.00

Metropolis, Nicolas. The Monte Carlo Method. Journal of the American Statistical Association, 1949. Volume 44, Number 247, September 1949 Numerical methods that are known as Monte Carlo methods can be loosely described as statistical simulation methods, where statistical simulation is defined in quite general terms to be any method that utilizes sequences of random numbers to perform the simulation. Monte Carlo methods have been used for centuries, but only in the past several decades has the technique gained the status of a full-fledged numerical method capable of addressing the most complex applications. The name ``Monte Carlo'' was coined by Metropolis (inspired by Ulam's interest in poker) during the Manhattan Project of World War II, because of the similarity of statistical simulation to games of chance, and because the capital of Monaco was a center for gambling and similar pursuits. Monte Carlo is now used routinely in many diverse fields, from the simulation of complex physical phenomena such as radiation transport in the earth's atmosphere and the simulation of the esoteric subnuclear processes in high energy physics experiments, to the mundane, such as the simulation of a Bingo game. See: Eckhardt, Roger (1987). Stan Ulam, John von Neumann, and the Monte Carlo method, Los Alamos Science, Special Issue (15), 131-137. Metropolis, Nicholas and Stanislaw Ulam (1949). The Monte Carlo method, Journal of the American Statistical Association, 44 (247), 335-341. Another account: Credit for inventing the Monte Carlo method often goes to Stanislaw Ulam, a Polish born mathematician who worked for John von Neumann on the United States� Manhattan Project during World War II. Ulam is primarily known for designing the hydrogen bomb with Edward Teller in 1951. He invented the Monte Carlo method in 1946 while pondering the probabilities of winning a card game of solitaire. Quoted in Eckhardt (1987), Ulam describes the incident as: The first thoughts and attempts I made to practice [the Monte Carlo Method] were suggested by a question which occurred to me in 1946 as I was convalescing from an illness and playing solitaires. The question was what are the chances that a Canfield solitaire laid out with 52 cards will come out successfully? After spending a lot of time trying to estimate them by pure combinatorial calculations, I wondered whether a more practical method than �abstract thinking� might not be to lay it out say one hundred times and simply observe and count the number of successful plays. This was already possible to envisage with the beginning of the new era of fast computers, and I immediately thought of problems of neutron diffusion and other questions of mathematical physics, and more generally how to change processes described by certain differential equations into an equivalent form interpretable as a succession of random operations. Later � [in 1946, I] described the idea to John von Neumann, and we began to plan actual calculations. And another: Short History of Monte Carlo Simulation The name "Monte Carlo" appeared in the World War II times, and sometimes is attributed to the researcher Nicholas Metropolis, inspired in the interest of Stanislaw Ulam, his colleague of Manhattan Project at Los Alamos, in the poker game. Monte Carlo, the capital of Monaco, was a known reference for gambling. According Eckhardt, Ulam invented the Monte Carlo method in 1946 while pondering the probabilities of winning a card game of solitaire. However, Metropolis "attributes the germ of this statistical method to Enrico Fermi, who had used such ideas some 15 years earlier�.. According Liu (2001, p.vii-viii): "The basic idea underlying the method was first brought up by Ulam and deliberated between him and von Neumann in a car when they drove together from Los Alamos to Lamy. Allegedly, Nick Metropolis coined the name 'Monte Carlo', which played an essential role in popularizing the method". Liu comments that the Los Alamos scientists aiming to take advante of the first "super" computer MANIAC, invented a statistical sampling-based technique to solve problems related to stochastic neutron diffusion in atomic bomb project and for estimating eigenvalues of the Schr�dinger equation. Winston (1996, p.22) wrote that the term was coined by mathematicians S. Ulam and J. von Neumann in the feasibility project of atomic bomb by simulations of nuclear fission, and they given the code name Monte Carlo for these simulations. The first Monte Carlo paper, "The Monte Carlo Method" by Metropolis & Ulam, was published in 1949 in the Journal of the American Statistical Association. Since then, several different areas has been using the Monte Carlo simulations. With the advent of personal computers and the popularization of faster computational machines, the Monte Carlo simulations has been increasing popular as an important alternative for the solution of complex problems. Shewhart, Walter Andrew. Statistical Method from the Viewpoint of Quality Control. With the editorial Assistance of W. Edwards Deming. Washington, DC, Department of Agriculture: 1939. First edition. 8vo, 1x,155pp, diagrams, tables etc in the text. Original cloth. A fine (+) copy. Very bright. $1250 Fine copy of a scarce and seminal work. "Whereas Shewhart's early writings and first book (1931) were focused on statistical control of industrial production processes, in his second book (above) he extended the applications of statistical process control to the measurement processes of science, and stressed the importance of operational definitions of basic quantities in science, industry and commerce�.(this book) has profoundly influenced statistical methods of research in the behavioral, biological and physical sciences, and in engineering�" (DSB, XVIII, 818a) (Book ID 21322) $4,000.00

Shewhart, Walter Andrew.. Statistical Method from the Viewpoint of Quality Control. With the editorial Assistance of W. Edwards Deming.. Washington DC: Department of Agriculture, 1939. 1st edition. 8vo. Cloth. Fine condition. Washington, DC, Department of Agriculture: 1939. First edition. 8vo, 1x,155pp, diagrams, tables etc in the text. Original cloth. A fine (+) copy. Very bright. Very Fine copy--perhaps the finest one could hope to find--of a scarce and seminal work. "Whereas Shewhart's early writings and first book (1931) were focused on statistical control of industrial production processes, in his second book (above) he extended the applications of statistical process control to the measurement processes of science, and stressed the importance of operational definitions of basic quantities in science, industry and commerce�.(this book) has profoundly influenced statistical methods of research in the behavioral, biological and physical sciences, and in engineering�" (DSB, XVIII, 818a) (Book ID 21324) $1,250.00