Titlebook: Mathematics of Program Construction; Second International R. S. Bird,C. C. Morgan,J. C. P. Woodcock Conference proceedings 1993 Springer-Ve

Cardiac-Output

苦澀

An operational semantics for the guarded command language,eakest liberal precondition. The informal notion of a computation is used as a justification for the various definitions. In this paper we present an operational semantics in which the notion of a computation is made explicit. The novel contribution is a generalization of the notion of weakest preco

昏睡中

Logical specifications for functional programs,entially predicates that relate the result of the specified program to the free variables of that program. In their most concrete form, specifications are simply programs in a functional programming language. Development from abstract specifications to programs is calculational..Using logic in the s

費(fèi)解

Inorder traversal of a binary heap and its inversion in optimal time and space,n two steps. First, we invert a program that computes the inorder traversal of a binary heap, using the proof rules for program inversion by W. Chen and J.T. Udding. This results in a linear-time solution in terms of binary trees. Subsequently, we data-refine this program to a constant-space solutio

onlooker

Richard S. Bird,Oege de Moor issue in this book.Shows approaches using on-line models orThis book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process non

單純

S. M. Brien issue in this book.Shows approaches using on-line models orThis book presents computationally efficient MPC solutions. The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process non

掃興

手銬

staging

枕墊

H. Peter Hofsteesurement levels data.?.In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordinal) is introduced as nonlinear PCA, in which an optimal scaling technique is used to quantify the categorical variables. The alternating least squar