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in c and c the expression exp1exp2 means evaluate exp1 then exp2 and return the value of exp2 if exp1 has no side
if we translate the expression doublelong i where i is an int for the jvm we will generate an i2l instruction int to
it is clear that some expressions are more complex than others in terms of the number of registers or stack locations
quiz 2 question1an executable program file is brought into memory and prepared for execution atchoose one answer a
complete the code generator for vardecl nodes figure 123 by inserting calls to the proper code generation subroutines
some languages including java require that all variables be initialized explain how to extend the code generator for
the code generated for i12 in exercise 2 is probably not the same as that generated for i12 why is this what must be
when a run-time error occurs some programs print an error message with a line number followed by a call trace which
most c and java compilers provide an option to display the assembly instructions that are generated compile the
assume we add a new operator the swap operator lt-gt to java or c given two variables v1 and v2 the expression
reconsider the c-like program shown in exercise 3 this time assuming display registers are used to access frames rather
the java jvm is unusual in that it provides explicit instructions for throwing and catching exceptions on most other
1 suppose a two-lane road converges to one lane to pass through a tunnel to coordinate the use of the tunnel the
draw a flow diagram that depicts the pseudo code label each node in the diagram with a unique alphabet5 identify each
if input is in allowedcharactersetif input is a number if input gt0put input into positivenumber listelseput input into
write a function named gcd that takes two positive integer arguments and returns as its value thegreatest common
the composition of the minimum-description-length mdl criterion is described as followsdiscuss how the weight-decay
in this problem we revisit the adaptive control of the learning rate discussed in section 410 the issue of interest is
in jacobs 1988 the following heuristics are proposed to accelerate the convergence of on-line back-propagation
in the optimal-brain-damage obd algorithm for network pruning due to lecun et al 1990b the hessian h is approximated by
the use of a momentum term in the weight update described in eq 441 may be considered as an approximation to the
investigate the use of back-propagation learning employing a sigmoidal nonlinearity to achieve one-to-one mappings as
consider the use of a white-noise sequence of zero mean and variance sigma2 as the input to the lms algorithm determine
an alternative to the mean-square error mse formulation of the learning curve that we sometimes find in the literature
use the back-propagation algorithm for computing a set of synaptic weights and bias levels for a neural network