The section is particularly feared. One problem might involve a lighthouse rotating its beam, a moving ship, and the speed of the light spot along a shore — requiring implicit differentiation with respect to time, the chain rule, and trigonometric substitution all at once. Pedagogical Philosophy: Why It Works Chapter 10 exemplifies a teaching philosophy that prioritizes application over abstraction . Feliciano and Uy were writing for students who would become practitioners — civil engineers calculating beam deflections, electrical engineers analyzing rates of change in circuits, business students finding break-even points. The chapter does not spend pages proving the Mean Value Theorem (that appears earlier, in Chapter 4). Instead, it shows how to use derivatives to solve a concrete problem.
Another strength is the chapter’s . Early exercises are straightforward: find the slope of the tangent to $y = x^3 - 3x$ at $x=2$. By the end of the problem set, students face multi-step optimization puzzles involving costs, revenues, and geometric constraints that mimic real engineering design challenges. The Infamous “Feliciano and Uy” Problem Sets Ask any Filipino engineer over 40 about Chapter 10, and they will likely grimace with a fond nostalgia. The unsolved exercises at the back of each subsection are legendary — not because they are impossible, but because they require translation from English to mathematics. Consider this classic optimization problem (paraphrased from memory of the 1980s edition): “A rectangular sheet of tin 12 inches by 8 inches has four equal squares cut from each corner. The flaps are then folded up to form an open box. Find the size of the square to be cut out so that the volume of the box is maximum.” The solution requires defining $x$ as the side of the square, expressing volume $V(x) = (12-2x)(8-2x)x$, differentiating, setting $V'(x)=0$, and checking the second derivative. Simple enough — but Feliciano and Uy often add a twist: “If the tin costs PhP 0.50 per square inch and the box is to be sold for PhP 15.00, is it profitable?” Suddenly, it’s not just calculus; it’s economics. The section is particularly feared
Additionally, the chapter provides scant attention to or sensitivity analysis — topics that would benefit engineering students today. And the examples, while clear, are almost exclusively deterministic; there is no discussion of error propagation or uncertainty quantification using differentials, though the “approximations” section touches on it lightly. Conclusion: The Unfinished Journey Chapter 10 of Differential and Integral Calculus by Feliciano and Uy is more than a collection of problems on tangents, optimization, and related rates. It is a rite of passage — a demanding, patient, and ultimately rewarding bridge from the rules of differentiation to the art of applying them. Its legacy is visible in every Filipino engineer who can quickly sketch a curve, size a container for maximum volume, or compute how fast a shadow lengthens as a streetlight walks away. Feliciano and Uy were writing for students who