Algorithmic design is not simply the use of computer to design architecture and objects. Algorithms allow designers to overcome the limitations of traditional CAD software and 3D modelers, reaching a level of complexity and control which is beyond the human manual ability. Algorithms-Aided Design presents design methods based on the use of Grasshopper®, a visual algorithm edito...(展开全部)

As the first book to share the necessary algorithms for creating code to experiment with design problems in the processing language, this book offers a series of generic procedures that can function as building blocks and encourages you to then use those building blocks to experiment, explore, and channel your thoughts, ideas, and principles into potential solutions. The book c...(展开全部)

Emergence is an important new concept in artificial intelligence, information theory, digital technology, economics, climate studies, material science and biometric engineering. It is a development which is set to inform not only the construction of buildings, but also the composition of new materials. As a new science, coupled with material and technological innovations, it is...(展开全部)

The Delft Design Guide presents an overview of product design approaches and methods used in the Bachelor and Master curriculum at the faculty of Industrial Design Engineering in Delft. Product design at Industrial Design Engineering in Delft is regarded as a systematic and structured activity, purposeful and goal-oriented. Due to its complexity, designing requires a structured...(展开全部)

More and more programmers are turning to Python and this book will give them the understanding they need. Necaise introduces the basic array structure and explores the fundamentals of implementing and using multi-dimensional arrays. The underlying mechanisms of many of Python’s built-in data structures and constructs are covered. A number of ADTs and applications are discussed ...(展开全部)

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) solution of the formulated problem. One can solve a problem on its own using ad hoc techniques or follow those techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm d...(展开全部)

Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algori...(展开全部)

Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algori...(展开全部)

Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) solution of the formulated problem. One can solve a problem on its own using ad hoc techniques or follow those techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm d...(展开全部)