Application of functional optimization techniques for the serial hybrid computer solution of partial differential equations

1968 ◽  
Author(s):  
Hiroshi H. Hara ◽  
Walter J. Karplus
Keyword(s):  
Partial Differential Equations ◽  
Differential Equations ◽  
Optimization Techniques ◽  
Computer Solution ◽  
Partial Differential ◽  
Functional Optimization ◽  
Hybrid Computer

Hybrid computation in the university

SIMULATION ◽  
1970 ◽  
Vol 15 (2) ◽  
pp. 67-72 ◽  
Author(s):  
Jon C. Strauss ◽  
David B. Greenberg
Keyword(s):  
Partial Differential Equations ◽  
Differential Equations ◽  
Computer Programming ◽  
Partial Differential ◽  
University Environment ◽  
Hybrid Computation ◽  
Hybrid Computer ◽  
Per Se ◽  
The University ◽  
Univer Sity

One of the primary goals of the Carnegie-Mellon University Hybrid Computation Laboratory has been to study hybrid computation per se, from both an application and automation viewpoint. To date, the work has concentrated on automation of hybrid computer programming and on methods for solving partial differential equations. During the course of the design, installation, and operation of its hybrid computation laboratory, CMU has obtained a wealth of experience (both objective and subjective) with the use of hybrid computation in the university environment. In light of growing univer sity interest in hybrid computation, this article describes the experience of CMU and presents certain conclusions concerning the appropri ateness of university use of hybrid computation.

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