1- In a Simplex table, the pivot row is computed by .............every number in the profit row by the pivot number. 2- The Zj row in a simplex table for maximization represents .................profit. 3- In converting a less-than-or-equal constraint for use in a simplex table, we must add a .......................and an artificial variable. 4- For a minimization problem using a Simplex table, we know we have reached the optimal solution when the Cj - Zj row has ................................numbers in it.
Quantization and Resolution
Quantization is a methodology of carrying out signal modulation by the process of mapping input values from an infinitely long set of continuous values to a smaller set of finite values. Quantization forms the basic algorithm for lossy compression algorithms and represents a given analog signal into digital signals. In other words, these algorithms form the base of an analog-to-digital converter. Devices that process the algorithm of quantization are known as a quantizer. These devices aid in rounding off (approximation) the errors of an input function called the quantized value.
Probability of Error
This topic is widely taught in many undergraduate and postgraduate degree courses of:
Q1.B/ - Fill in the blanks with appropriate word:
[12.5 marks]
1- In a Simplex table, the pivot row is computed by .............every number in the profit row by the pivot number.
2- The Zj row in a simplex table for maximization represents .................profit.
3- In converting a less-than-or-equal constraint for use in a simplex table, we must add a .......................and an
artificial variable.
4- For a minimization problem using a Simplex table, we know we have reached the optimal solution when the
Cj - Zj row has ................................numbers in it.
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