The reason why it is possible to apply Base equalization technique in many different areas lies in the concept of abstraction.
Abstraction means expressing in more general terms.
The special characteristic of the base equalization technique is its amenability to abstraction. It is possible to express the common core abstract base equalization technique as a series of general steps,
In indices problems, base that was equalized was generally the base of the index itself, and occasionally the power or the index also. In fraction arithmetic, equalization of bases is the most important technique. In most cases the base equalized is the denominators of the fractions to their LCM value and very infrequently the numerators also to their LCM value. In time and work problems, instead, we equalize the base of unit rate of work as a portion of whole work done in common unit term by a work-agent. Otherwise, more areas we find where use of this efficient problem solving versatile technique leads us to our desired solution following a least cost efficient path.
Chosen difficult algebra problems are solved quickly in very few steps. The problems are solved by no tricks, but easy algebra problem solving techniques.
Three difficult algebra problems solved to show how simple and intelligent solution methods work using eight techniques of intelligent problem solving.
A few hard algebra problems are solved quickly in a few simple steps. How to solve a hard algebra problem easily by problem solving techniques explained.
Time and work unitary method, Time and work formula, Improved work rate technique for working together and Time and work with 3 variables solved.
In a problem with multiple parameters, identify the base to be equalized and its target value and equalize the bases. This is base equalizing technique.
Base equalization technique produces quick solutions in indices problems. For fraction problems also, base equalization technique is indispensable.
Selected examples explain how to use base equalization technique in solving indices problems elegantly. It also is indispensable for fraction problems.
