A non-programmed decision that is a unique decision that requires a custom-made solution for a new or complicated problem.
Non programming decision is the decision which has to be taken in any situation which is necessary which is not already predefined.
A non- programming decision are used for new unstructured and badly defined problems. These decisions are requires subjective judgments which are made by top level of management.
to make decisions in programming.. Bubli Sagar
There is no programming solution for "anything". Programs are specifically designed to solve a particular problem.
It takes out the personal angle in decision making.
just to have much choice in decision making
Kyohei Sasaki has written: 'Statistics for modern business decision making' -- subject(s): Mathematical statistics, Probabilities, Statistical decision 'Introduction to finite mathematics and linear programming' -- subject(s): Linear programming, Programming (Mathematics)
the basic difference between them is that in greedy algorithm only one decision sequence is ever generated. where as in dynamic programming many decision sequences are generated.
Keywords in a programming language that allow the programmer to redirect the flow of the program based on a decision are called
Toshio Yasui has written: 'Conversion of decision tables into decision trees' -- subject(s): Computer programming, Decision logic tables, Decision trees
programming language is of two type 1. procedural programming language 2.non procrdural programming language .. ----non procedural programming language means that which relates with the real world.. for example-oops oops is a non procedural programming language because it relates to the object and object relate to the natural or real world where as that languge which does not belong to the real world is known as procedural language
The LPP is a class of mathematical programming where the functions representing the objectives and the constraints are linear. Optimisation refers to the maximisation or minimisation of the objective functions. The following are the characteristics of this form. • All decision variables are non-negative. • All constraints are of = type. • The objective function is of the maximisation type.