[AntonioLao]

The theory of optimization was not organized into a new mathematical discipline until after 1947. Now the impact of digital computers made possible the use of mathematical programming derived from optimization theory to solve everyday decision problems. The practicality of mathematical programming can be seen in some of the following methods of finding solutions to many practical problems (1) linear programming (2) nonlinear programming (3) integer programming (4) stochastic programming (5) network flow programming (6) and combinations of some of these methods as applied in operations research, national and international economics by numbers, cybernetics, information and automata theory, control and feedback theory, dynamic programs, and combinatorial theory.

The revolutionary step in the mathematical theory of optimization stemmed from the concept of an objective function. Its mathematical activities boil down to maximizing or minimizing a particular objective function. At the early stages of its development this objective function disguises as a sequence of authoritatively imposed rules of procedure and priorities. However, the advent of the simplex method in linear programming transforms these oddly impossible constraints into workable computerized solutions. One of the pioneers is none other but John Von Neumann. The same Von Neumann who gave the idea of an operating system, the stored instructions set, or CPU (central processing unit) as brain power inside a digital computer.

Now back to the titled question. It can be said that a universe is more than capable of optimizing itself if this objective function exists. This function is then represented by the square of energy. Whose relativistic formulation is given by E=cp+mc. When the energy (E) is expressed as a differential time operator and the momentum (p) as a differential space operator then the square of energy gives a relativistic wave equation used by Dirac to derive his theory of electron (implying intrinsic spin) and to discover antiparticles. In general, the objective function maximizes ordinary matter and simultaneously minimizes antimatter thus completing a yin-yang self-optimization between zero and infinity.

[Guille]

Why does the objective function have to be the square of energy and not any other thing?

[AntonioLao]

Originally Posted by GUILLE Why does the objective function have to be the square of energy and not any other thing?

The necessity of removing positive and negative aspect of a quantity and also its directional property.

[mkirkpatrick]

Originally Posted by AntonioLao The theory of optimization was not organized into a new mathematical discipline until after 1947. Now the impact of digital computers made possible the use of mathematical programming derived from optimization theory to solve everyday decision problems. The practicality of mathematical programming can be seen in some of the following methods of finding solutions to many practical problems (1) linear programming (2) nonlinear programming (3) integer programming (4) stochastic programming (5) network flow programming (6) and combinations of some of these methods as applied in operations research, national and international economics by numbers, cybernetics, information and automata theory, control and feedback theory, dynamic programs, and combinatorial theory. The revolutionary step in the mathematical theory of optimization stemmed from the concept of an objective function. Its mathematical activities boil down to maximizing or minimizing a particular objective function. At the early stages of its development this objective function disguises as a sequence of authoritatively imposed rules of procedure and priorities. However, the advent of the simplex method in linear programming transforms these oddly impossible constraints into workable computerized solutions. One of the pioneers is none other but John Von Neumann. The same Von Neumann who gave the idea of an operating system, the stored instructions set, or CPU (central processing unit) as brain power inside a digital computer. Now back to the titled question. It can be said that a universe is more than capable of optimizing itself if this objective function exists. This function is then represented by the square of energy. Whose relativistic formulation is given by E=cp+mc. When the energy (E) is expressed as a differential time operator and the momentum (p) as a differential space operator then the square of energy gives a relativistic wave equation used by Dirac to derive his theory of electron (implying intrinsic spin) and to discover antiparticles. In general, the objective function maximizes ordinary matter and simultaneously minimizes antimatter thus completing a yin-yang self-optimization between zero and infinity.

I tend to think that the universe is optimizing itself
towards self-awareness,do you agree Antonio??
kind regards michael.

[AntonioLao]

Originally Posted by mkirkpatrick the universe is optimizing itself towards self-awareness

The universal awareness is not, I think, evolutional. By this I mean that it is space and time independent.

[mkirkpatrick]

Originally Posted by AntonioLao The universal awareness is not, I think, evolutional. By this I mean that it is space and time independent.

Are you then saying
Antonio,that this "self awareness" in within,and without the universe?


kind regards michael.

[AntonioLao]

Originally Posted by mkirkpatrick that this "self awareness" in within,and without the universe?

Knowing and seeing the inner and outer simultaneously forever.